Shape evolution and sexual dimorphism in the mandible of the dire
Transcription
Shape evolution and sexual dimorphism in the mandible of the dire
Marshall University Marshall Digital Scholar Theses, Dissertations and Capstones 2014 Shape evolution and sexual dimorphism in the mandible of the dire wolf, Canis Dirus, at Rancho la Brea Alexandria L. Brannick [email protected] Follow this and additional works at: http://mds.marshall.edu/etd Part of the Animal Sciences Commons, and the Paleontology Commons Recommended Citation Brannick, Alexandria L., "Shape evolution and sexual dimorphism in the mandible of the dire wolf, Canis Dirus, at Rancho la Brea" (2014). Theses, Dissertations and Capstones. Paper 804. This Thesis is brought to you for free and open access by Marshall Digital Scholar. It has been accepted for inclusion in Theses, Dissertations and Capstones by an authorized administrator of Marshall Digital Scholar. For more information, please contact [email protected]. SHAPE EVOLUTION AND SEXUAL DIMORPHISM IN THE MANDIBLE OF THE DIRE WOLF, CANIS DIRUS, AT RANCHO LA BREA A thesis submitted to the Graduate College of Marshall University In partial fulfillment of the requirements for the degree of Master of Science in Biological Sciences by Alexandria L. Brannick Approved by Dr. F. Robin O’Keefe, Committee Chairperson Dr. Julie Meachen Dr. Paul Constantino Marshall University May 2014 ©2014 Alexandria L. Brannick ALL RIGHTS RESERVED ii ACKNOWLEDGEMENTS I thank my advisor, Dr. F. Robin O’Keefe, for all of his help with this project, the many scientific opportunities he has given me, and his guidance throughout my graduate education. I thank Dr. Julie Meachen for her help with collecting data from the Page Museum, her insight and advice, as well as her support. I learned so much from Dr. O’Keefe and Dr. Meachen over the past 2 years, and for that I am so grateful. I also thank Dr. Paul Constantino for raising questions that I had not considered, as well as for his suggestions for my thesis. I would also like to thank University of California Museum of Paleontology at Berkeley, specifically Pat Holroyd, and The George C. Page Museum, specifically John Harris, Chris Shaw, Aisling Farrell, and Gary Takeuchi, for allowing Dr. O’Keefe, Dr. Meachen, and I to collect data from the dire wolf specimens used in this project and for their assistance. I also thank Dr. H. David Sheets for his assistance using the IMP programs, including pcagen_7a. I thank the Graduate College for the Marshall University Summer Thesis Award and the Marshall University Drinko Research Fellowship to FRO for funding towards this project. I also thank all of the graduate students of the Biological Sciences, specifically Elise Edwards, Lyndsay Rankin, Mark DeBlois, Derek Breakfield, and Kelli Herrick for their support, encouragement, and their willingness to listen and give feedback on “practice talks” and my work. Finally, I thank my parents, my sisters, and Mike Black for the enormous support system they have provided me, as well as for always encouraging me to follow my dreams. iii ABSTRACT The Rancho La Brea tar pits are a classic fossil lagerstätten, famous for the deposition of episodic accumulations of large numbers of fossils over short intervals in the late Pleistocene. I analyzed 157 Canis dirus (dire wolf) hemi-mandibles from Rancho La Brea through a 2D landmark-based morphometric analysis to test for size and shape changes through time. I scored 16 landmarks on each mandible gathered from four pits of different ages: 61/67 (~13-14 thousand years ago [ka]), 13 (~17-18 ka), 2051 (~26 ka), and 91 (~28 ka). Analyses indicate size does change through time, and shares a broad correlation with climate change. A principal components analysis revealed shape variables also fluctuated from pit to pit. Other environmental effects, such as competition, nutritional stress, and prey-preference, may also vary through time. These effects, along with climate, must be considered in determining the causalities of the size and shape changes we see in the dire wolf jaws. In addition, some sexually dimorphic signals are also distinguishable among the mandibles, and are similar to those seen in the extant gray wolf (Canis lupus). iv CONTENTS Abstract………………………………………………………………………………………….. iv Chapter 1, Introduction……..……………………………………………………………………. 1 Background……………………………………………………………………………. …1 The Origin of Dogs……………………………………………………………………. …2 The Family Canidae………………………………………………………………….... …3 The Dire Wolf………………………………………………………………………..... ..10 Canis dirus and Canis lupus……………………………………………………………..11 Morphological Changes and the Environment………………………………………......12 Study Design…………………………………………………………………………… 14 Chapter 2, Landmark-Based Shape and Size Analyses………………………………………… 18 Materials and Methods…………………………………………………………………. .18 Results………………………………………………………………………………….. .21 Discussion………………………………………………………………………………..26 Chapter 3, Sexual Dimorphism and Allometry…………………………………………………. 33 Introduction………………………………………………………………………………33 Materials and Methods………………………………………………………………….. 36 Results…………………………………………………………………………………....39 Discussion………………………………………………………………………………..46 Literature Cited…………………………………………………………………………………..53 Appendixes………………………………………………………………………………………68 Appendix A: Letter from Institutional Review Board…………………………………...68 Appendix B: List of Specimens, Procrustes Coordinates and Distances………………...69 CHAPTER 1 INTRODUCTION Background The end of the Pleistocene epoch (2.6-0.01 Ma) saw numerous, extreme fluctuations in global climate, as well as the demise of many genera of large mammals (Barnosky et al., 2003; Rahmstorf, 2003; Barnosky et al., 2004; Koch and Barnosky, 2006). The causality of these global extinctions are contentious, but some combination of climate change and overkill by humans is the current consensus (Koch and Barnosky, 2006; Gill et al., 2009; MacDonald et al., 2012; Guthrie, 2006; Nogues-Bravo et al., 2008). Analyzing the structure of the fossil communities leading up to the end Pleistocene megafaunal extinctions may allow for clearer interpretations of the causalities of these extinctions. The Rancho La Brea tar pits are located in Los Angeles, California. They are famous for the deposition of episodic accumulations of large numbers of fossils during the terminal Pleistocene (Stock and Harris, 1992). These asphaltic seeps range in age from ~50,000-10,000 years ago (O’Keefe et al., 2009). The pits formed when Paleogene oil deposits migrated to the surface and formed open pools where plants and animals became entrapped. The open seeps were then covered by alluvial sediments (Quinn, 1992; Frisca et al., 2008; O’Keefe et al., 2009). Radiocarbon dating has provided depositional time frames for each pit, and the foundation of a climate correlation to these times of deposition. The La Brea tar pits are exceptional and offer an important opportunity to study fossil communities through dramatically varying Pleistocene climates (Stock and Harris, 1992; Meachen et al., 2014; O’Keefe et al., 2014). Carnivores are found in high proportions in the pits at Rancho La Brea; a ratio of 10 carnivores for every 1 herbivore, the opposite of what is seen in nature and at most fossil sites 1 (Stock and Harris, 1992; Binder and Van Valkenburgh, 2010). This disparity is due to the method of entrapment at the tar pits, where one herbivore became mired in the tar and attracted a large number of carnivores, which then became mired themselves. Carbone et al. (2009) suggested a carcass domination scenario, where large, social carnivores were more likely to become entrapped due to greater attraction to the sights and sounds of easy prey and the willingness to challenge other predators for this opportunity. A recent study supported this hypothesis by reporting significantly higher social carnivoran abundance at Rancho La Brea in comparison to the fauna of Southern California and North America as a whole (McHorse et al, 2012). The most common species at Rancho La Brea is the dire wolf, Canis dirus (Leidy, 1854), an extinct wolf species endemic to North and South America (Dundas, 1999). The dire wolf comprises over 50 % of the relative abundance of carnivorans at Rancho La Brea (McHorse et al., 2012). Because of the large numbers of dire wolf fossils, and the radiocarbon dating of each pit, C. dirus is an excellent species for the examination of shape over time at Rancho La Brea. The dire wolf is classified as a carnivoran within the family Canidae (Tedford et al., 2009), and it will be the focus species of this project. The Origin of Dogs. The order Carnivora appeared in the early Paleocene (65-60 Ma) and encompasses a great diversity of mammalian lineages, including 11 extant families (Van Valkenburgh, 2007). The first true carnivorans, diagnosed by the presence of derived teeth called carnassials, reside in the extinct family Viverravidae, and spread throughout most of the world during the early Tertiary. Determining this lineage as a progenitor for later carnivorans, including the families Felidae and Hyaenidae, has remained controversial (Polly et al., 2006; Wang and Tedford, 2008). Fossil remains of viverravids are rare, and gaps in the fossil record complicate reconstructions of phylogenetic relationships. Evidence of plesiomorphic 2 characteristics within the auditory bulla of Viverravus acutus place viverravids outside of crowngroup Carnivora, indicating this family probably did not give rise to the extant members of this order. The family Miacidae, another ancient lineage of early carnivorans, is thought to be the ancestor of many, if not all, modern families within Carnivora (Polly et al., 2006; Heinrich et al., 2008). The earliest known miacids of North America have been excavated from northwestern Wyoming basins and are of early Eocene in age, while coeval miacid remains have also been found in Europe (Heinrich et al., 2008; Smith and Smith, 2010). Miacids also possessed carnassial teeth, indicating their inclusion in Carnivora, but their dental adaptations were more generalized than those of viverravids (Wang and Tedford, 2008). The family Miacidae gave rise to species classified with the family Canidae, which also has North American origins (Wang and Tedford, 2008). The Family Canidae. The family Canidae is composed of three subfamilies-Hesperocyoninae, Borophaginae, and Caninae. Hesperocyoninae and Borophaginae are completely comprised of extinct species, while Caninae is the only canid subfamily with modern members, as well as extinct taxa. Hesperocyonines are the most ancient of all canids, first appearing in the late Eocene (~36 Ma). The oldest member of this subfamily is Prohesperocyon wilsoni, and retains features of both miacids and canids; characteristics of the basicranium, including the presence of the tympanic bulla, indicate that this transitional species is a member of Canidae (Wang, 1994; Wang and Tedford, 2008; Lyras, 2009). P. wilsoni is only known from one skull and lower jaw and is interpreted as the earliest canid from which the entire family may be derived. Hesperocyonine diversity was at its highest during the Oligocene epoch (Figure 1). The genus Hesperocyon is particularly important, since later members separately gave rise to the other two 3 subfamilies of Canidae (Figure 2). This lineage persisted into the early Miocene, with Ectopocynus simplicidens as the terminal species. Borophagines are often termed “hyaenoid dogs” because some species possess adaptations to bone crushing (durophagy) that evolved convergently with those of hyenas (Tseng and Wang, 2011). However, not all borophagines were specialized for durophagy; hypocarnivores, mesocarnivores, and hypercarnivores are all included within this clade (Van Valkenburgh et al., 2003). The borophagines were confined to the North American continent and contain 66 species-the largest of all Canidae subfamilies (Wang et al., 1999; Van Valkenburgh et al., 2003). The first borophagines appeared in in the middle Oligocene and were small in size. This lineage persisted until ~ 2 Ma (Wang and Tedford, 2008), reaching their highest diversity ~16 Ma when 16 species roamed North America (Figure 1; Van Valkenburgh et al., 2003). A tendency towards a larger body size and increased hypercarnivory (and eventually durophagy) evolved within the lineage through time. As hesperocyonines, the top predators of the time, became extinct, more carnivorous niches became available to borophagines; early borophagines appear more omnivorous during the reign of the previous subfamily (Wang et al., 1999; Van Valkenburgh et al., 2003). The largest canid to have ever lived, Epicyon, lived throughout western North America during the Miocene (Figure 3). Epicyon had an enlarged lower forth premolar, indicating bone cracking abilities. This feature is also seen in its descendant, the terminal genus of this subfamily, Borophagus. Borophagus also had other adaptations to assist in bone cracking, including a domed forehead and short snout (Tseng and Wang, 2010; Wang and Tedford, 2008; Anyonge and Baker, 2006). 4 Figure 1. Diversity of the three subfamilies of Canidae at the species level per unit of time (1 Ma). Only North American taxa are included for Caninae. The expansion of diversity in succeeding subfamilies near the extinction of preceding clades is evident. Modified from Tedford et al. (2009). 5 Canines, comprising all members of the subfamily Caninae, arose in the early Oligocene alongside Borophaginae in North America (Figure 3). The Hesperocyon lineage within Hesperocyonidae gave rise to the first primitive, fox-sized canine species, Leptocyon (Figure 2). While Borophaginae and Caninae both possess carnassials with bicuspid talonid basins, Leptocyon differed from borophagines by having longer jaws with premolars separated by gaps (borophagine premolars are large without gaps). This initial canine genus has a suite of pleisomorphic characteristics, especially within dental features, when compared to later canines (Tedford et al., 1995; Wang and Tedford, 2008). All later canines evolved from Leptocyon, including the vulpine (fox) lineage. An important member of the Caninae line is Eucyon-the middle Miocene canid that gave rise to the genus Canis. Eucyon, along with Canis and later derived genera, are separate from the South America subtribe of Cerdocyonia and create the subtribe Canina (both subtribes are within the tribe Canini); Cerdocyonia phylogenetically stands between the subtribe Canina and the vulpine tribe, Vulpini. The subtribe Canina is morphologically distinct from its close relatives in South America in sharing two particular features: a strongly arched zygomatic arch and a second posterior cusp on the lower forth premolar (Tedford et al., 2009). 6 Figure 2. Cladogram of Canidae. The gray box displays a more detailed cladogram of the genus Canis. Modified from Tseng and Wang (2011) and Tedford et al. (2009). Data for the cladogramss are from Wang (1994), Wang et al. (1999), Eucyon davisi appeared in North America ~7 Ma (late Miocene), and expanded its range and Tedford et al (2009). Eucyon davisi appeared in North America ~7 Ma (late Miocene), and expanded its range into Eurasia ~6-5 Ma through the use of the Beringian land bridge. Eucyon disappeared in North 7 America in the early Pliocene (~5 Ma), but persisted in Asia until ~3 Ma. Eucyon in Eurasia expanded in Africa and radiated into other Eurasian species (Figure 3). The genus Canis arose from North American Eucyon ~6 Ma, about the same time Eucyon radiated across the world (Wang and Tedford, 2008). It took almost 2 million years for Canis to invade Asia; the first immigrant to arrive was C. chihliensis. From this initial stock of species that migrated into the Old World, Canis continued to expand its range, radiate within the genus, and give rise to other genera (Xenocyon, which then gave rise to Cuon [dhole] and Lycaon [African hunting dog]) (Tedford et al., 1995; Tedford et al., 2009; Wang and Tedford, 2008). Of particular importance to Canis dirus evolution is Canis armbrusteri. Although C. armbrusteri fossils have been found only in North America and appear suddenly on this continent in the early Pleistocene (~1.5 Ma), it has been suggested that this wolf immigrated from Asia. This wolf is of a large size compared with contemporaneous species of Canis, and predates the appearance of wolf-sized canines in Europe; it is also the first wolf-sized species within the subtribe Canina to appear in North America. However, C. chihliensis is a large canine of the late Pliocene found in China and is a sister taxon to the Holartic and North American Canis lupus (the gray wolf, European origin; Figure 2). Because there are a number of similarities among C. armbrusteri, C. lupus, and C. dirus (the dire wolf, endemic to North and South America), extensive research on the phylogenetic relationships between these three species has been performed (Tedford et al., 2009). It has been suggested that C. armbrusteri is a descendant of the C. chihliensis lineage, while the dire wolf arose from C. armbrusteri after its immigration into the New World (Figures 2 and 3; Tedford et al., 2009; Wang and Tedford, 2008). 8 Figure 3. The phylogenetic relationship between the three subfamilies, as well as some selected genera. Migration directions are also displayed by the arrows. The widths of the clades roughly correlate to the diversity of the clade through time. Modified from Wang and Tedford (2008). 9 The Dire Wolf The dire wolf was one of the last Pleistocene species to disappear during the megafaunal extinctions, with radiocarbon dates of Rancho La Brea specimens dating as late as 9850 ± 550 BP (Marcus and Berger, 1984). Furthermore, specimens from other sites date as recently as 8,200 ± 260 BP (Hester, 1960). The oldest record of dire wolf fossils are from the Sheridan Beds of Sheridan County, Nebraska and are late Irvington in age (~ 1 Ma). There are other late Irvington sites in Nebraska and California that contain dire wolf material, however, the Sheridan beds are considered to predate the others (Tedford et al., 2009). There are a number of autapomorphies distinguishing this species from other canines, with the majority being dental characteristics indicating a hypercarnivorous diet (Tedford et al., 2009). The dire wolf is largely of Rancholabrean age, and went extinct during the terminal Pleistocene (~10 Ka) along with many other megafaunal species (Tedford et al., 2009; Wang and Tedford, 2008; Dundas, 1999). Canis dirus is documented from over 120 sites in North and South America. Although suggestions of a South American origin have been proposed (Dundas, 1999), most researchers agree that the dire wolf arose in North America due to the abundance of northern localities and synapomorphies shared with C. armbrusteri (Tedford et al., 2009). Most fossil localities are located within the lower 48 states of the USA, but a few sites have been found to contain dire wolf material in southern Alberta, Canada and the north and west coasts of South America (Dundas, 1999; Tedford et al., 2009). The dire wolf is the largest canine (extant and extinct) known within the genus Canis. While Van Valkenburgh and Koepfli (1993) estimated the mass of the dire wolf to be 50 kg from regressions of skull length and head-body length against body weight for extant carnivores, a more recent study by Anyonge and Roman (2006) estimated a heavier mass based on least- 10 squares and reduced-major-axis regression models for five measurements of the femur; they estimated an average body mass of 60kg for western dire wolves (those specimens studied from localities in California and Mexico; synonymous with Canis dirus guildayi [Kúrten 1984]) and 68kg for the eastern dire wolf (those specimens studied from localities in Texas, Florida, and Missouri; synonymous with Canis dirus dirus [Kúrten 1984]). Probably the most well-known fossils of western Pleistocene dire wolves are the exceptional remains from the Rancho La Brea tar pits in Los Angeles, CA (Stock and Harris, 1992). Canis dirus and Canis lupus. The closest extant relative of the dire wolf is the gray wolf, Canis lupus. The gray wolf appeared in Eurasia ~1 million years ago and migrated to North America ~750,000 years ago; migrations to North America have occurred at least three times based on morphological data and biogeographical reconstruction. C. lupus and C. dirus cohabitated in North America for ~400,000 years (Figure 3; Paquet and Carbyn, 2003; Chambers et al., 2012). However, C. lupus was relatively rare in North America until the Pleistocene extinction and the demise of C. dirus (Dundas, 1999). The two wolf species are similar morphologically, and there is evidence for behavioral similarity, making C. lupus an excellent model for the dire wolf (Anyonge and Baker, 2006). For example, C. dirus and C. lupus share four specific synapomorphies in cranial and dental structures, including frontal sinuses that extend to the frontoparietal suture (Tedford et al., 2009). Previous studies on craniofacial measurements suggest that the two species are not significantly different in most indices related to cranial proportions and jaw musculature, indicating similar feeding and killing behavior between the gray wolf and dire wolf (Van Valkenburgh, 2007; Anyonge and Baker, 2006; Biknevicius and Van Valkenburgh, 1996). However, C. dirus has a larger dentition, including a more massive carnassial blade (Anyonge and Baker, 2006). C. dirus also has broader zygomatic arches and 11 relatively longer temporal fossae which suggest a slightly larger bite force from more massive temporalis muscles (Biknevicius and Van Valkenburgh, 1996; Anyonge and Baker, 2006). This, in addition to larger, rounded canines, reveals that the dire wolf may have been able to resist the struggling of larger prey (Van Valkenburgh and Ruff, 1987). Both species probably lived in packs, and display cursorial hunting adaptations to a hypercarnivorous diet comprised primarily of ungulates (Fox-Dobbs et al., 2007). Both species have been classified as hypercarnivores specializing in large prey based on linear discriminant analysis of mandibular morphology (Meloro, 2011). Killing strategies do not include using their limbs to grapple with prey or delivering a precise, fatal kill bite, unlike felids including Smilodon fatalis (Van Valkenburgh and Sacco, 2002; Meachen-Samuels, 2012). Instead, wolves work in groups, with some wolves holding down the prey item, while others make the kill (Van Valkenburgh, 2007). Both species have the ability to use postcarnassial molars for crushing bone and gaining access to marrow, but are not habitual bone crushers like some hyaenids (Anyonge and Baker, 2006). Body mass estimates indicate that the dire wolf was larger than the gray wolf, but analysis of an extinct Pleistocene gray wolf ecomorph of eastern-Beringia shows possible convergence on dire wolf morphology due to the dire wolf’s absence in this region, and thus decreased competition with another, larger species (Anyonge and Roman, 2006; Leonard et al., 2007). Although there are some differences between C. dirus and C. lupus, the gray wolf remains the best modern analog for interpreting behavior and morphological variation in Canis dirus. Morphological Variation and the Environment. A recent study has demonstrated significant geographic variation in shape and size in gray wolves (O’Keefe et al, 2013). Gray wolves follow Bergmann’s Rule, an ecological trend stating that body size increases with increasing latitude and decreasing temperature (Jolicoeur, 1959; Skeel and Carbyn, 1977; Blackburn et al., 1999; 12 O’Keefe et al., 2013). However, recent work has suggested that size differences in gray wolves are related to resource availability rather than surface to volume ratio, as was originally suggested by Bergmann’s rule (Geist, 1987; McNab, 2010). Although Bergmann’s rule is predominantly seen as a latitudinal trend, this pattern has also been applied temporally (Gardner, 2011). While climate may influence overall body size, other environmental effects may also impact the size and shape of canid mandibles. Because canids rely almost solely on their crania in prey aquisition (Slater et al., 2009), mandibles should reflect functional changes in prey capture. Functional changes may be induced by competition, prey availability, and preypreference change through time. Previous studies on dire wolf tooth breakage and wear show fluctuations between high and low breakage and wear frequencies (Binder et al., 2002; Binder and Van Valkenburgh, 2010; O’Keefe et al., 2014). High levels of breakage and wear have been proposed to indicate increased inter- and intra-specific competition and/or nutrient stress (decreased food availability) (O’Keefe et al., 2014; Binder et al., 2002; DeSantis et al. 2012). Because breakage and wear data reflect environmental effects, it is worth testing whether mandible shape also changes during times of food stress. Increased nutrient stress may have an ontogenetic effect on growing wolves, resulting in neotenic (more juvenile) characteristics. In mandibles, this would result in proportionally larger teeth in comparison to the bony jaw (O’ Keefe et al., 2014). Examination of gray wolf morphological variation reveals an identifiable late-stage ontogenetic axis and indicates that dire wolf morphology may have a similar response (O’ Keefe et al., 2013; O’ Keefe et al., 2014). Evolutionary impacts are also possible with increased nutrient stress. If episodes of stress were long enough, mandibular morphology might adapt to increase bone-cracking and carcass 13 utilization abilities. These changes may include a shortening of the jaw and a deepening of the corpus for a greater buttressing effect, as seen in hyenas (Tseng and Wang, 2010; Biknevicius and Ruff, 1992). A combination of both ontogenetic and evolutionary effects is also possible if periods of increased food stress were long. In addition to size patterns, sexual dimorphism is detectable in gray wolf skulls. Although levels of sexual dimorphism in canids are low, distinct characteristics are found in association with size variation among the sexes of C. lupus (Van Valkenburgh and Sacco, 2002). Females are smaller than males and have proportionally larger molars, whereas males have relatively larger coronoid processes (O’Keefe et al., 2013; Milenkovic et al., 2010; O’Keefe et al., 2014; Jolicoeur, 1975). These features should be identifiable in the dire wolf mandibles if these ancient wolves displayed the same type of sexual dimorphism. In carnivores, larger species usually display increased amounts of sexual dimorphism; it is possible that the dire wolf shared the same sexually dimorphic characteristics as the gray wolf, but at an increased level (Meachen-Samuels and Binder, 2010). Study Design The Rancho La Brea tar pits are an excellent locality for examining late Pleistocene fossil communities. Each pit can be considered as a distinct depositional episode in the larger time range of ~50,000-10,000 years ago. However, strictly constraining the range of deposition for each pit has proven to be a challenge. O’Keefe et al. (2009) has provided a compilation of calibrated ages for 10 pits from previous studies, as well as new radiocarbon dates. All radiocarbon dates were generated from decalcified bone collagen taken from a variety of animal species, or from woody plant species. Unfortunately, the number of dates available for most pits is low, creating large spans of deposition for each pit (O’Keefe et al., 2009). The production of 14 more radiocarbon dates for each pit will allow for tighter constraints and more precise average ages. For now, only broad interpretations of climate conditions for each pit may be made. It is known, however, from North American climate records (North Greenland Ice Core Project [NGRIP], 2004) that climate changes between glacial and interglacial periods are cyclic, and they span time periods of different pit depositions; abrupt onsets of large amplitude warming events, named Dansgaard-Oeschger (D-O) events, were followed by more gradual cooling events (Figure 4; Rahmstorf, 2003). These D-O events are on the order of 10 degrees C and can change environments from glacial to interglacial in decades (Rahmstorf, 2003). At La Brea, both temperature and aridity would increase rapidly during D-O events and effect plant and herbivore communities. These effects would cascade up to carnivore groups (Meachen et al., 2014; O’ Keefe et al, 2014). Due to the radiocarbon dates that are available for the pits, it is known that depositions include the Bølling-Allerød warming event, the Oldest Dryas cold interval, and the Younger Dryas cool interval (Rahmstorf, 2003; O’ Keefe et al., 2009). The calibrated age of pit 61/67 (13-14 ka) is associated with the Bølling-Allerød warming event and is immediately prior to extinctions coincident with the Younger Dryas event, making it a vital pit to study (O’ Keefe et al., 2009; Koch and Barnosky, 2006; Kennett et al., 2008; O’ Keefe et al., 2014; Meachen et al., 2014). Although pit depositions may span multiple climatic events, the shifts in climate are important to consider when looking at changes within the fossil communities. 15 Figure 4. Climate data from NGRIP (2004). Depositions of pits in this study are highlighted, as well as climatic events. Modified from O’Keefe et al. (2014). This project focuses on analyzing dire wolf mandibles to determine if shape and size remained static over time at Rancho La Brea. To test for change over time, shape and size in Canis dirus hemi-mandibles from Rancho La Brea were analyzed in a 2D landmark-based morphometric analysis. Mandibles gathered from four pits of different ages were included: 61/67 (~13-14 thousand years ago [ka]), 13 (~17-18 ka), 2051 (~26 ka), and 91 (~28 ka) (Meachen et 16 al., 2014). Size comparisons among pits are completed through an analysis of variance on centroid size, while a principal components analysis is used to test if shape variables fluctuated from pit to pit. If size change does occur, I will examine these fluctuations in relation to Bergmann’s rule on a temporal scale. If dire wolves follow a temporal version of Bergmann’s Rule, than we would expect to see the largest C. dirus specimens from pits with the coldest climates. In addition to climate, other environmental effects, such as competition, nutritional stress, and prey-preference, may also vary through time. These effects must be considered in determining the causalities of changes we see in the dire wolf jaws. Shape variations among pits will also be assessed. Using known morphological changes in the gray wolf, Canis lupus, and their correlations to environmental factors may shed light to possible causalities of changes seen in the dire wolf (O’Keefe et al., 2013). Sexually dimorphic characteristics will also be evaluated while examining shape. Assuming that sexual dimorphism does not vary over time, these signals should not segregate among pits. By examining how morphology varies in this carnivore, insight into fluctuations in their paleoecology leading up to its extinction and its responses to environmental pressures can be gained and may help decipher possible causes for the dire wolf’s demise. 17 CHAPTER 2 LANDMARK-BASED SIZE AND SHAPE ANALYSES Methods and Materials Two-dimensional geometric morphometrics were used to analyze jaws of Canis dirus. I analyzed 157 complete, adult C. dirus hemi-mandibles. Digital photographs were taken of the labial side of specimens from pits 91(n = 22), 13 (n =36), and 61/67 ( n = 83) from the George C. Page Museum Hancock Collection (LACMHC), and pit 2051 (n = 16) from the University of California Museum of Paleontology at Berkeley (UCMP) (Table 1). Photos for pit 2051 were taken by FRO and JAM, while photos for the 3other pits were taken by ALB and JAM. I analyzed left hemi-mandibles only for all pits, except pit 2051, where only right hemi-mandibles were examined. Only right hemi-mandibles were analyzed for pit 2051 due to higher sample size for this side of the jaw in this pit. Specimens from pit 2051 were horizontally inverted, using Adobe Photoshop CS2 v.9.0, before analysis. All specimens were laid flat and photographed with a tripod-mounted Cannon EOS 30D 8.20-megapixel camera with a 5 cm scale-bar. While camera angle and distance were held constant while photographing LACMHC specimens, scalebars present in photographs were used to properly size UCMP specimen images to LACMHC specimen images in Adobe Photoshop CS2 v.9.0 before landmark digitization. Table 1. Summary of the Canis dirus hemi-mandible material used in this study. Pit dates are in radiocarbon years before present and are condensed from O'Keefe et al., 2009. See O’Keefe et al. (2009) and Meachen et al. (2014) for calibration information. The pit ages here are mean ages in the windows of deposition. Pit Date (Kybp) Number of Specimens (n) 91 ≈ 23-28 calibrated kybp, 22 majority of dates 27-28 kybp 2051 ≈ 21-30 calibrated kybp, mean 18 16 26 Kybp; 13 ≈17-18 calibrated kybp 36 61/67 ≈13-14 calibrated kybp 83 Sixteen homologous landmarks were digitized on each specimen using the program tpsDig2 (Rohlf, 2013). Positions of landmarks were chosen to give a general outline of the mandible and capture information of functional relevance (Meachen et al., 2014;Table 2, Figure 1). Landmarks on the tooth row were placed on alveolus so specimens with missing teeth could be included in our dataset. However, presence of the lower carnassial tooth was required in order to obtain landmark 5. Landmark 5 properly distinguishes the trigonid basin from the talonid basin of this tooth. The alveolus of the carnassial does not accurately differentiate between these basins, so the tooth itself must be present. Table 2. Descriptions of the 16 homologous landmarks placed on Canis dirus hemi-mandibles; See Fig.1 1. Anterior edge of the canine at the alveolus. 2. Posterior edge of the canine at the alveolus. Together landmarks 1 & 2 will give the anteroposterior width of the canine. 3. Anterior edge of p1 at the alveolus. 4. Posterior edge of the p4 at the alveolus. Together 3 & 4 will give the length of the premolar arcade. 5. Point on alveolus directly below anterior edge of the talonid basin of the m1. Together landmarks 4 & 5 will give the length of the shearing area of m1. 6. Alveolus of the posterior edge of m1. Together landmarks 5 & 6 will give the length of the grinding area of m1. 7. Posterior edge of m2 at the alveolus. Together landmarks 5 &7 will give an estimate for the grinding area 8. Anterior edge of the masseteric fossa. Disregard landmark movement in the coronal plane and focus only movement in the anteroposterior plane. 9. Top edge of the coronoid process. 10. Point where the coronoid process meets the condyloid process. Together landmarks 8 & 10 give the total width of the masseteric fossa. 11. Posterior edge of the condyloid process. Together landmarks 1 & 11 give an estimate of the total jaw length. 12. Posterior edge of the angular process. 19 13. Point where the ramus of the jaw moves from a horizontal plane to a vertical plane to the angle of the jaw. Together landmarks 9 & 13 will give the height of the coronoid process. 14. Inferior edge of mandible, directly below landmark #6. When taken with landmark 6, gives the height of the jaw in the coronal plane post m1 (Corpus Depth 3). 15. Inferior edge of mandible, directly below landmark #4. When taken with landmark 4, gives the height of the jaw in the coronal plane post p4 (Corpus Depth 2). 16. Inferior edge of mandible, directly below landmark #3. When taken with landmark 3, gives the height of the jaw in the coronal plane at the beginning of the premolar arcade (Corpus Depth 1). Figure 1.Generic Canis dirus hemi-mandible in labial view. Locations of 16 landmarks are also shown. See Table 2 for corresponding list and descriptions for landmark placement. A Procrustes superimposition was performed on raw landmark x-y coordinates in Morphologika. A set of new x-y coordinates, with rotation and translation between specimens removed, was then used in further analyses (Zelditch et al., 2004). In order to determine if the large sample size in pit 61/67 effected the resulting Procrustes coordinates, 30 specimens from pit 61/67 (total of 104 specimens) were randomly selected using Microsoft EXCEL and subjected to a Procrustes superimposition. This process was replicated 3 times. No significant 20 difference between the replicates and the original sample was detected; further analyses were conducted using the original sample of all 157 total specimens. Centroid size, a scaling variable, was also calculated, and provided a relative representation of mandible size for each specimen. Since mandible size and overall body size in carnivorans have been shown to be highly correlated (Figueirido et al., 2011), centroid size is used as a proxy for overall body size. Differences in size between pit samples were determined through an analysis of variance (ANOVA) on centroid size. Pairwise comparisons of centroid size means among pits were conducted by Student’s T tests (Table 3). A principal component analysis (PCA) was conducted on the Procrustes coordinates in order to investigate jaw shape variation within and among the pits sampled (Zelditch et al., 2004). The PCA was run in pcagen7_14a (Sheets, 2005), as well as the program JMP. Principal components were calculated from the covariance matrix of partial warp scores generated in pcagen7_14a and JMP. PC axes were used as shape variables to describe variance in shape among the specimens. Specimens were then identified by pit along each PC axis to evaluate mandibular shape. Both a set of ANOVAs and Student’s T tests on the first four principal component scores were used to determine significant shape differences among the pits. Shape changes along PC axes were visualized as vectors of mean landmark positions differences by 0.1 units in the positive direction (unless described otherwise). Pcagen7_14a was used to create the landmark vectors. The vectors showed the relative direction and magnitude of landmark displacement, allowing for a clearer interpretation of shape change along each PC axis. Results The ANOVA of centroid size showed that overall jaw size varied among the pits (Figure 2). Pit 61/67 displayed the largest size, but was only significantly larger than pit 2051 and 13. 21 The smallest jaw size was from pit 13, which was significantly smaller than all of the other pits. Pit 91 did not differ from either pit 2051 or pit 61/67 (Table 3). Table 3. Centroid size pairwise comparisons. Significance of pairwise comparisons was determined by Student’s T tests, and is delineated by stars. See Figure 2. Comparison 61/67-2051 61/67-13 61/67-91 13-91 2051-91 2051-13 Size p<0.0001* p<0.7950 p<0.0001* p<0.01304 p<0.0062* p<0.0412* Figure 2. Plot of ANOVA of centroid size among pits. The red lines represent estimates of the mean for each pit. Black lines indicate 95% confidence intervals. Pit 13 has a significantly smaller overall body size in comparison to the other three pits. Pits are arranged in chronological order, from oldest (left) to youngest (right). 22 Thirty-two principal components resulted from the PCA, with PCs 1-6 explaining 67.2% of the variance (Table 4). While performing a PCA on the Procrustes coordinates should minimize the effect of size on shape variables due to the removal of centroid size, size significantly varied among the pits and should be taken into account when examining shape. For example, knowing the correlation between size and a PC axis may alter the interpretation of that axis and indicate a specific allometric relationship on that PC. The first and fourth principal components are positively correlated with centroid size (p<0.001, R2=0.099 and p<0.0001, R2=0.090, respectively), while PC 3 is negatively correlated with centroid size (p<0.0335, R2=0.0288; Table 4). Principal component 2 is not correlated with centroid size. Table 3. One-way ANOVAs of principal components by pit. The first four PCs are shown and account for 52.8% of the variance. Regressions against centroid size are also shown P Percent One- Means, 61/67- 61/67- C Explain way T 13 91 ed ANOVA 61/67- Centroid , by pit 2051 Size F ratio 0.0157* 0.7741 <0.000 P 17.91 2051- 2051- Regressio 91 13 n, 0.0001 <0.000 0.0171 F ratio * * C 10.9195 I p<0.000 p<0.0001 1* * F ratio <0.000 0.0194 0.3131 C 6.8112 1* * II p<0.000 P 13.02 1* 13-91 1* 17.1757 0.3995 0.0055* 0.0216 F ratio * 1.6429 p<0.2018 2* P 11.92 F ratio 0.9019 0.1412 0.2246 23 0.9920 0.4323 0.3856 F ratio C 1.0209 4.6030 II p<0.385 p<0.0335 I 2 * P 9.92 F ratio 0.0533 0.0145 0.0366* 0.0003 0.0019* 0.8991 F ratio C 5.8212 * * 15.3336 IV p<0.000 p<0.0001 9* * Principal component 1 (PC1) explains 17.9% of variance and is interpreted to represent posterior jaw size increase. PC1 is also correlated with size. Dire wolves scoring high on the PC1 axis have a larger bony jaw, largely represented by vectors from landmarks 8-13, in relation to the size of their teeth, represented by vectors from landmarks 1-7 (Figure 3). Negative values on the PC1 axis indicate animals with small jaws relative to tooth size. Significant differences among pits on PC1 were identified. Pit 91 significantly segregated from all other pits, as did pit 2051. Pits 13 and 61/67 were not different on PC1. The second principal component (PC2) represents significant reorientation of the jaw. PC2 explains 13% of the variance and also displays segregation among the pits. Negative loading on PC2 is associated with two shape changes: 1) the coronoid process and posterior portion of the jaw shifting both anteriorly and ventrally, in a counter-clockwise fashion, and 2) the anterior portion of the jaw near the canine shifting posteriorly and dorsally in a clockwise rotation (Figure 3). Positive loadings are associated with the anterior and posterior portions of the jaw rotating away from each other. Pit 2051 differed of all other pits, displaying the highest 24 degree of the anterior and posterior portions of the jaw rotating in towards each other (most negative PC 2 values). Pit 61/67 differentiated from pit 13 as well, with pit 13 displaying more reorientation of the anterior and posterior portions of the jaw towards each other than 61/67. However, pit 13 did not differ significantly from pit 91. A plot of the scores of the first two principal components can be seen in Figure 3. PC 2 Vectors PC 1 Vectors Figure 3. Plot of PC1 vs. PC2 scores. Crosses represent the mean pit score (center) and 95% confidence intervals. PC1 vector, shown on a landmark wireframe, are from the centroid in a positive direction, while PC2 vectors are from the centroid in a negative direction. Colors associated with pit numbers are as follows: orange-61/67, red-13, blue-2051, and green-91. Principal component 3 (PC3) explains 11.9% of the variance and shows no significant differences among pits. Negative loadings on PC3 are associated with increases in canine size and length of the tooth row relative to the bony jaw. Molars shift together posteriorly, with a 25 slight decrease in size of the second molar. Positive loading are associated with decreases in canine size and overall tooth row length (Figure 4). Figure 4. Plot of PC1 vs. PC3 scores. Crosses represent the mean pit score (center) and 95% confidence intervals. PC1 vector, shown on a landmark wireframe, are from the centroid in a positive direction, while PC3 vectors are from the centroid in a negative direction. Colors associated with pit numbers are as follows: orange-61/67, red-13, blue-2051, and green-91. Principal component 4 (PC4) explains 9.9% of the variance and is correlated with size. Positive values on PC4 are associated with slight increases in jaw and tooth row length. Negative values are associated with a decrease in jaw size, especially the coronoid height, and a shift of the molar arcade forward. On this axis, wolves from pit 91 are distinct from all other pits. Pit 26 61/67 differs from pit 13, but not 2051. Pit 13 and 2051 are not distinct. It is important to note that the landmark 13 vector dominates this PC axis; this is relevant because the variance of this landmark in the x-dimension regarding the Procrustes coordinates is a magnitude greater than any other landmarks’ variance in the x or y dimension. The placement of landmark 13 is more subjective, in the x-dimension, than any other landmark. However, landmark 13 still contributes to size decrease with negative values on the x-axis. The variance of landmark 13 in the ydimension was similar to that of the other landmarks; this is important because the main purpose of the landmark 13 was to acquire coronoid height in conjunction with landmark 9. Discussion Both size and shape in C. dirus change through time at Rancho La Brea, clearly showing that some evolution is occurring. Mean jaw size, and therefore body size, averages vary from pit to pit; the largest average body size occurs in pit 61/67, while wolves from pit 91 are only marginally smaller than those from 61/67. Significantly smaller wolves are found in pit 13. By examining NGRIP and GRIP climate records, we can begin to evaluate size and climate relationships, such as a temporal Bergmann’s Rule (NGRIP, 2004). Pit 61/67 had the warmest climate, overlapping in deposition with the Bølling-Allerød warm interval, while pit 13 was deposited during a relatively cool interval near the last glacial maximum. According to NGRIP data, pit 2051 represents the coldest interval of this sequence, while pit 91 is thought to be associated with rapid warming events, labeled Dansgaard-Oeschger events. Specifically, pit 91 is associated with D-O event 3 (Meachen et al., 2014; O’Keefe et al., 2014; Rahmstorf, 2003). However, more precise dating of all of these pits, especially pits 61/67 and 13, will solidify these correlations. 27 Bergmann’s rule, originally correlated with latitude, predicts mean body size to be larger in areas of colder climates, while areas of warmer climates will have smaller mean body sizes (Bergmann, 1874; O’Keefe et al., 2013). From the size changes seen here, it appears dire wolves did not follow a temporal Bergmann’s rule. Instead, body size in relation to climate is opposite to what Bergmann’s rule would have predicted; the colder pits (2051 and 13) display smaller body sizes and the warmer pits (91 and 61/67) show larger body sizes. This is particularly interesting because the gray wolf, our model species for the dire wolf, follows Bergmann’s rule (O’Keefe et al., 2013). Many carnivores do not follow Bergmann’s rule, including some canids, such as coyotes (Meiri and Dayan, 2003; Meachen and Samuels, 2012). This is thought to be related to levels of primary productivity, competition, and food availability rather than climate (McNab, 2010; Huston and Wolverton, 2011; Yom-Tov and Geffen, 2011). Huston and Wolverton (2011) suggest that carnivores may be indirectly affected by the amount of ecological and evolutionary net primary productivity (eNPP) during a given period of time. Higher outputs of eNPP, possibly due to warmer climatic conditions, may increase food availability for primary producers. With an increase of food for primary producers, larger populations of herbivores can be supported which increases food availability for carnivores and allow for body size increases. Changing levels of primary productivity due to climate would have a cascading effect on carnivores, such as the dire wolf (Meachen et al., 2014). Mandible shape also varies significantly from pit to pit. Fluctuating environmental pressures, such as changing nutrient stress, are a leading cause in changing the appearance and/or rate of development, or heterochrony, within a population (McNamara, 1990). Neoteny, decreased somatic growth relative to sexual maturation, in canids is recognizable through the identification of proportionally shorter snouts, larger teeth, and a more steeply rising forehead 28 region in comparison to the ancestral population (O’Keefe et al., 2014; Gould, S. J., 1977; Paquet and Carbyn, 2003). The largest amount of variance in shape is shown along PC1, representative of an allometric size vector, and this axis displays evidence of neoteny in the dire wolf. A recent study on dire wolf cranial morphometrics found higher incidences of tooth breakage and wear (indicative of increased nutritional stress), along with neotenic characteristics in wolves of pit 13. These specimens were also significantly smaller than those of other pits (O’Keefe et al, 2014). Results presented here agree with this study; animals examined here are smallest in pit 13. However, wolves of pit 91 also had high tooth breakage and wear frequencies, but were relatively large using the centroid size of the entire skull as a metric (O’Keefe et al., 2014). These authors suggest nutrient stress for pit 91 wolves was less severe than that for pit 13 wolves or began after dental maturity was reached. Although wolves from pit 91 were the second largest in this study, PC1 scores from this study suggest that pit 91 wolves also show neotenic characteristics; these wolves have the smallest jaws relative to the size of their teeth. Since modern wolves reach dental maturity before they reach full bony growth, it can be inferred that pit 91 wolves experienced late-stage growth truncation (O’Keefe et al., 2014; Kreeger, 2003). This pattern was subtle but identifiable in the skull data, but is more marked here. Both the jaw and skulls show allometic impacts in wolves of pits 91 and 13 (O’Keefe et al., 2014). However, the impacts are slightly different between pits. Pit 91 displays late stage growth truncation, as seen in the relative size of the bony jaw in comparison to tooth size. These wolves are stunted along the ontogenetic allometry axis. Pit 13 wolves are not only stunted along the ontogenetic allometry axis, but have also been pushed down the static allometry axis. Comparing the size of their bony jaw size and teeth shows a ratio similar to that of 61/67 (Figure 3), but their teeth are relatively small. Because wolves of pit 13 have a small body size, small 29 teeth, and a bony jaw/tooth ratio indicative of isolated late stage growth truncation (like pit 91), they are interpreted to have experienced stunting on both the static allometry and ontogenetic allometry axes. The dire wolf skull data agree with these interpretations of allometric stunting in pits 91 and13 (O’Keefe et al., 2014). The shape changes along PC1 primarily show allometric jaw growth, but it is plausible it may contain some evolutionary effects as well. Pit positions along PC1 may also be in response to competition and prey availability. Taller coronoid processes allow increased area for the attachment of the temporalis muscle, which increases the speed and force of jaw closure (Wang and Tedford, 2008; Anyonge and Baker, 2006). Wolves of pits 61/67 and 2051 have the largest jaws, including the coronoid process, relative to their teeth. Increased coronoid height suggests that these wolves are catching larger, faster prey and tooth breakage and wear indicate that they are not under nutrient stress (O’Keefe et al., 2014). It follows that these wolves may have mechanical advantage in shearing when tooth breakage and wear indicates that they are not under nutrient stress. Wolves of pit 91 and 13 have the relatively smallest bony jaws in comparison, including their coronoid processes. Having shorter coronoid processes decreases the mechanical advantage of the temporalis muscles in relation to the masseter muscle. Additionally, shorter, broader jaws produce larger bite forces. These wolves are more masseter dominated, which is active in crushing at the molars. It follows that these wolves are probably consuming more bone, making crushing abilities necessary, or prey preference was different in comparison to pits 61/67 and 2051. This explanation is plausible, but relies more on adaptation than allometric axes to rectify the differences among the pits. In terms of shape, pit 2051 wolves are interesting in that they discretely segregate from the other pits on the first two principal component axes (Figure 3). Pit 2051 wolves have 30 anteroventrally oriented coronoid processes, while the anterior portion of the jaw orients posteriorly and dorsally. In addition, these wolves do not display signs of neoteny, having the largest bony jaws relative to their teeth. Wolves of pit 13 score closest to pit 2051 on the PC2 axis, which demonstrates reorientation of both ends of the jaw. Evidence of neoteny is present in pit 13; further directional change of pit 13 wolves towards the shape seen in 2051 may have been hindered by nutritional stress or other factors. Because pit 13 and pit 2051 were deposited during relatively colder climates than the other pits, it is possible that this anterior rotation of the terminal ends of the jaw may have been an adaptation for living in cold climates. The ecological drivers of the shape difference displayed in pit 2051 are not clear, but my PCA analysis determined that shape evolution did occur. Although PC 3 explains ~12% of the shape variance, it is important to note the shape changes along this axis. Principal component 3 is interpreted as capturing sexual dimorphism. There are no significant differences among the pits on this axis, which is expected since sexual dimorphism should remain constant through time (Figure 4). Negative loadings would be associated with male dire wolves- canine size increases, overall tooth row lengthens, and the size of the second molar decreases with more negative values. A recent study on the morphology of extant gray wolves reveals that male wolves are generally larger than female wolves and have relatively smaller molars (O’Keefe et al., 2013). The lengthening of the tooth row may be explained by an increase in overall size and moving up the static allometry axis. It would also follow that the second molar size decreases in putative male wolves. Canine size has also been shown to be sexually dimorphic in dire wolves, with male dire wolves’ canines estimated to be 11-12% larger than female canines (Van Valkenburgh and Sacco, 2002). In contrast, positive loadings are associated with overall smaller female dire wolves that have relatively larger second 31 molars and smaller canines. Previously determined characters that differentiate the sexes in both dire wolves and gray wolves agree with the shape changes along PC 3 (See Chapter 3). In summary, Canis dirus mandible size and shape, and therefore overall body size, do not remain constant throughout time. Jaw size comparisons reveal that dire wolves were largest in pits with warmer climates and smaller in cooler pits, the opposite of what a temporal Bergmann’s rule would have predicted. Because the dire wolf does not seem to follow climate correlations similar to the gray wolf, its extant counterpart, it is appropriate to explore other environmental factors as possible causalities by examining shape change. Overall mandible shape shows certain microevolution, and nutrient stress and adaptations relating to food availability and competition are also influential factors. Because Pleistocene climate records reveal extreme variability, more precise dating of the La Brea tar pits would help more accurately define the existing environmental conditions of each deposit. Exploring the variation of size and shape throughout time is important in determining paleoecologic changes the dire wolf was experiencing. One aspect of morphology that was not extensively investigated here is sexually dimorphic characteristics. Determining the level and extent of sexual dimorphism in the dire wolf can help tease out causalities of intraspecific morphological variation, as well as better inform us of their overall lifestyle. Sexual dimorphism of the dire wolf will be examined more thoroughly in Chapter 3. 32 CHAPTER 3 TESTING EVOLUTIONARY RESPONSES IN THE MANDIBULAR CORPUS AND ASSESSING SEXUALLY DIMORPHIC CHARACTERS THROUGHOUT THE JAW Introduction Corpus Depth Evolution. The analyses in this chapter have three main objectives. The first objective is to see if dire wolves of both pits 91 and 13 had evolved hyena-like jaw corpora. Pit 91 and pit 13 wolves have higher incidences of tooth breakage and wear, possibly indicating increased levels of competition or nutrient stress during these depositions (O’ Keefe et al., 2014). Jaw morphology may therefore have been driven towards adaptations of bone-cracking, increased carcass utilization, and stronger bite forces. Durophagous adaptations might include vaulted, dome-like foreheads, simplified but robust dentition, shortened snouts, and prominent sagittal crests among others (Tseng and Binder, 2010; Tanner et al., 2008; Wang and Tedford, 2008; Van Valkenburgh 2007; Binder and Van Valkenburgh, 2000; Biknevicius and Ruff, 1992). In mandibular morphology specifically, corpus depth should relatively increase to create a greater buttressing effect if there is an adaptive response to increased mechanical stress in the bone of the corpus (Biknevicius and Ruff, 1992). Hyaenids and canids use different teeth to crack bones, however. Hyenas utilize their robust premolars to process bone. By using their premolars, gape is increased and larger bones can be processed; the loss of bite force due to this long lever arm is counteracted by hypertrophied masticatory muscles in hyaenids (Biknevicius and Ruff, 1992; Binder and Van Valkenburgh, 2000; Van Valkenburgh, 2007; Tanner et al., 2010). Canids, unlike hyaenids, are not specialized for a durophagous diet. Greater occlusal forces are generated in the molars than in premolars and cortical bone thickness is greater posterior to the lower first molar, indicating 33 molars, not premolars, are used to crack bone in canids (Biknevicius and Ruff, 1992; Van Valkenburgh, 2007). Because bone thickness, and thus strength in bending, is greatest posterior to the teeth used in bone processing in both hyaenids and canids (Biknevicius and Ruff, 1992), I focused on differences in corpus depths, especially Corpus Depth 3 (Table 1, Figure 1), among the four pits to determine if the corpus evolved to become deeper in times of increased nutrient stress. Sexual Dimorphism in Corpus Depth. The second objective was to determine whether corpus depth could be distinguished as sexually dimorphic. It has been hypothesized that female gray wolves have relatively larger molars to more completely process carcasses due to increased nutrient needs during lactation and/or enable them to be even with males while feeding if they fall short in prey apprehension (O’Keefe et al., 2013). If females are more prone to increased carcass utilization, it is possible females may have thicker corpora to increase their bone cracking ability. Because extant gray wolves (C. lupus) are the closest analog to the dire wolf, I modeled my hypotheses of sexual dimorphism in the corpus based on known molar dimorphism, and interpreted behavior for this morphology, in the gray wolf (See Chapter 1). Here, greater values of centroid size represent males, while lower values represent females, since gray wolves are male-biased size dimorphic (males are larger than females; Fairbairn, 1997; O’Keefe et al., 2013; Milenkovic et al., 2010). Sexual Dimorphism in Other Measurements. Finally, the last objective was to determine if other linear measurements on dire wolf jaws could be classified as sexual dimorphism, allometric, or both (Table 1, Figure 1). Difficulties determining sexually dimorphic characters arise from not knowing the sex of each fossil specimen a priori. It is also difficult to decipher whether positive trends are due to sexual dimorphism or static allometry, since much of dimorphism is contained 34 on the static allometry axis. It is essential to keep in mind that all linear measurements were calculated from Procrustes coordinates, meaning that all measurements are relative to one another and do not factor in size. All regressions in this section were calculated using 61/67 specimens only. Allometry. Allometry is variation in shape of specific elements in association with variation in size or another element, and can help describe morphology (Klingenberg, 1996). Isometry is when a trait size scales proportionally to body size. An element that is positively allometric is relatively larger, in proportion to body size, in larger individuals, whereas negative allometry indicates a character that is relatively smaller in larger individuals (Klingenberg, 1996; Bonduriansky, 2007). Although growth is a major contributing factor to resulting allometric patterns, these patterns can be also be caused by evolution within, or among, taxa and variation among individuals of a population. Because of the multiple causations to allometric trends, allometry has been classified into three types. Static allometry, as defined by Klingenberg (1996), results from variation among individuals of the same population and age group and mostly reflects size allometry. Ontogenetic allometry refers to changes in relative trait size through development/different age stages and is also referred to as growth allometry (Bonduriansky, 2007; Klingenberg, 1996). Evolutionary allometry concerns relative changes in different traits along branches of a phylogeny, either contemporaneous species sharing a common ancestor or fossil members (Klingenberg, 1996). Because I am not concerned with multiple members of a phylogeny, and my focus is one species (Canis dirus), the resulting effects of both the ontogenetic and static allometry axes will be emphasized, whereas the evolutionary allometry axis will not be discussed. 35 In order to discuss sexual dimorphism and allometry, it is first important to rule out any measurements that are not candidates for sexual dimorphism. These measurements will be isometric, or will not have significant correlations with centroid size, and thus body size. Due to the assumption that dire wolves were male-biased size dimorphic, determining morphological differences between males and females relies on a characteristic to differ with centroid size. Positively allometric components, or those that have a positive correlation with size, will be considered for possible sexual dimorphism, but the static allometry axis will also be considered for an effect. It is common for positively allometric components to be also be considered sexually dimorphic. However, the characters that are negatively allometric elements must also be examined (Bonduriansky, 2007). Elements that are negatively allometric, or have a negative correlation with centroid size, will be considered for both the ontogenetic axis and sexual dimorphism. Materials and Methods Corpus Depth Evolution. All specimens used in these analyses were the same as those used in Chapter 2. Processes of digitization and Procrustes superimposition were consistent with those previously described (Zelditch et al., 2004). Differences among pit samples for three separate corpus depth measurements (Corpus Depth 1, Corpus Depth 2, and Corpus Depth 3- Table 1, Figure 1) were analyzed through an analysis of variance (ANOVA). Pairwise mean comparisons between pits were completed by Student’s t tests. Sexual Dimorphism in Corpus Depth. To evaluate sexual dimorphism in the corpus, both a pooled dataset, which included all 157 specimens from the four pits (See Chapter 2), and a subsample of specimens from only pit 61/67 were used. As with assessing corpus depth evolution, the processes of digitization and Procrustes superimposition were the same as 36 described in Chapter 2 (Zelditch et al., 2004). Distances between Procrustes coordinates for Corpus Depth 1, Corpus Depth 2, and Corpus Depth 3 were calculated (Table 1, Figure 1). These three interlandmark distances were regressed against centroid size and M2 length (which was determined to be sexually dimorphic before this analysis was complete) to establish allometric patterns of these elements in relation to overall body size, since centroid size was used as a body size indicator and has been shown to serve as a robust size variable when examining sexual size dimorphism (Hood, 2000). Table 1. Interlandmark Distances and a list of the landmarks from which each distance was calculated. See Figure 1. Measurements on Figure 1 A Interlandmark Distance Corpus Depth 1 Landmarks Distance Calculated Between 3 & 16 B Corpus Depth 2 4 & 15 C Corpus Depth 3 6 & 14 D Coronoid Height 9 & 13 E Jaw Length 1 & 11 F Premolar Arcade 3&4 G M1 Shearing (Trigonid Basin) 4&5 H M1 Grinding (Talonid Basin) 5&6 I M2 Length 6&7 J Canine Length 1&2 K Molar Arcade 4&7 L Carnassial-Coronoid 5&9 M Carnassial-Condyloid 5 & 11 N Carnassial-Angular 5 & 12 37 O Carnassial-Masseter Fossa 5&8 (A) (B) Figure 1. Linear measurements taken on mandibles. See Table 1 for description. Measurements A-I shown in part (A); measurements J-O shown in part (B). Blue lines represent measurements taken on teeth; red lines represent corpus depth measurements; gray lines represent bony jaw measurements. 38 Sexual Dimorphism in Other Measurements. To examine other possible sexually dimorphic characteristics, 12 other (besides corpus depths) linear measurements were taken on Procrustes coordinates of specimens from pit 61/67 only (Table 1, Figure 1). This pit was chosen because it had the largest sample size of all the pits (n = 83) and the largest range of centroid size. If sexual dimorphic characteristics are clear, they should be visible in this pit, and not observed by interpit variability. These measurements were then regressed against centroid size to determine allometric patterns of each element in relation to overall body size. All linear measurements were subjected to ANOVAs and Student’s t tests to determine statistical differences among the pits; sexually dimorphic characteristics should not fluctuate through time. For specific distances (coronoid height, M2 length, and the talonid basin of M1), global regressions against centroid size using the pooled dataset (157 specimens) were completed. These distances were also regressed using the complete dataset because these elements have been shown to be sexually dimorphic in the extant gray wolf, C. lupus (O’Keefe et al., 2013). My aim was to see if any significant regressions of these elements were also significant using the pooled dataset to partially determine if they stayed consistent through time. Body Size Estimation: Although body size comparisons among the pits were discussed in Chapter 2, analysis of sexual dimorphism in the jaw reveals certain allometric components that may have skewed mean centroid size results. In addition, body size estimates generated from the mandible do not agree with those generated from skulls (O’Keefe et al., 2014) This indicates that centroid size may not have been the best body size indicator. Previous studies have suggested that the lower carnassial (m1) is a good predictor of body size in canids, with a 27% prediction error (Van Valkenburgh, 1990). The functional relevance and low sexual dimorphism in the carnassial suggests this tooth may be a good body size indicator. One-way ANOVAs of the 39 length of the trigonid basin of the carnassial (m1), the length of the talonid basin of the carnassial, and the length of the upper carnassial (P4) were calculated among the pits. Data for the P4 measurement was taken from O’Keefe et al., 2014. Pairwise comparisons among the pits were calculated by Student’s t tests. Results The ANOVA of Corpus Depth 1 showed that the corpus did not vary in depth at the beginning of the premolar arcade among the pits (p<0.1226). Only pit 13 differed from pit 2051; all other comparisons were not significant (Table 2). The ANOVA of Corpus Depth 3 had the same results-the corpus did not vary in depth behind the carnassial among the pits (p<0.1258). Only pit 61/67 differed from pit 91, but all other comparisons were not significant (Table 2). The ANOVA of Corpus Depth 2 did reveal a significant difference in depth at the beginning of the molar arcade among the pits (p<0.0083). Pit 13 had the greatest depth at this measure, while pit 2051 had the shallowest depth here. Pits 91 and 61/67, which were not different from one another, have values in between pits 2051 and 13 (Table 2). Table 2. Significance of pairwise comparisons of interlandmark distances among pits based on one-way Student's T tests among means. Stars indicate significance after Bonferroni correction. For measurement descriptions, see Table 1, Figure 1. Comparison 61/67- 61/67-13 61/67-91 13-91 2051-91 2051-13 <0.0001** 0.0235** 0.0057** <0.0001** <0.0001** 0.0075** 0.1303 0.1660 0.1138 0.7022 0.9180 0.6478 0.0085** 0.5935 0.0159** 0.8862 0.0431** 2051 Coronoid Height M2 Length M1 Grinding 0.7666 40 (Talonid Basin) M1 Shearing 0.2995 0.0659 0.0327** 0.5871 0.0159** 0.0311** 0.4013 0.0256** 0.0518 0.0009** 0.0348** 0.4648 0.5663 0.0019** 0.0757 0.4556 0.0766 0.0096** 0.1334 <0.0001** 0.0492** 0.1439 0.8471 0.1270 Jaw Length 0.0030** <0.0001** 0.0002** 0.5364 0.7573 0.3713 Corpus 0.2985 0.0682 0.4322 0.5125 0.1514 0.0317** 0.0255** 0.0377** 0.9137 0.1491 0.0525 0.0007** 0.2235 0.9078 0.0378** 0.0539 0.6082 0.2368 0.0040** 0.0463** 0.1599 0.0070** 0.0007** 0.1891 0.6691 0.3160 0.0136** 0.1434 0.1445 0.7806 0.0039** 0.7246 0.0094** 0.0402** <0.0001** 0.0044** (Trigonid Basin) Premolar Arcade Molar Arcade Canine Length Depth 1 Corpus Depth 2 Corpus Depth 3 CarnassialCoronoid CarnassialCondyloid Carnassial- 41 Angular Carnassial- 0.6311 0.0049** 0.0764 0.6023 0.3686 0.1472 Masseter Fossa Corpus depth 1 regressions against centroid size for the complete dataset and for pit 61/67 were not significant (Table 3). Corpus Depth 1 regressed against the second molar length was significant for the complete dataset, but was not significant for pit 61/67 alone. Corpus Depth 2 regressions against centroid size for the complete dataset and pit 61/67 were both significant (Table 3). For regressions of Corpus Depth 2 vs. M2 length, significance was only found in the complete dataset. Corpus Depth 3 regressions had similar results. For the complete data set, regressions of Corpus Depth 3 vs. centroid size and M2 length were both significant (Table 3). In the pit 61/67 subsample, Corpus Depth 3 regressed against M2 length was significant, while Corpus Depth 3 vs. centroid size was not. Table 3. Corpus Depth regressions vs. Centroid Size and M2 Length. Regressions were performed on the entire dataset and 61/67 specimens separately. Complete Dataset (n Corpus Depth 1 Corpus Depth 2 Corpus Depth 3 F ratio 0.9879 F ratio 9.8619 F ratio 4.5014 p< 0.3218 p<0.0020** p<0.0355** F ratio 4.0358 F ratio 7.8839 F ratio p<0.0463** p<0.0056** p<0.0121** F ratio 0.0724 F ratio 12.6503 F ratio 2.5461 =157) Centroid Size M2 Length 61/67 only (n =83) Centroid Size 42 M2 Length p<0.7885 p<0.0006** p<0.1145 F ratio 3.6788 F ratio 2.0947 F ratio 4.3608 p<0.0586 p<0.1517 p<0.0399** Nine of the 15 linear measurements taken yielded insignificant, or isometric, results when regressed against centroid size for specimens of pit 61/67 only (Table 4). Three linear measurements, Carnassial-Condyloid, Corpus Depth 2, and Jaw Length, displayed positive allometry, or a positive correlation with centroid size. Negative allometry, or a negative correlation with centroid size, was detected for three measurements: Molar Arcade, Premolar Arcade, and M2 Length (Table 4). Table 4. Regressions of interlandmark distances vs. centroid size. Significance is indicated by the stars. Interlandmark distances in gray have a significantly negative correlation with centroid size, while those italicized have a significantly positive correlation with centroid size. These regression are based on only 61/67 specimens. Interlandmark Distance Regression on Centroid Size Coronoid Height F ratio 0.1065, p< 0.7450 M2 Length F ratio 5.9683, p< 0.0167** M1 Grinding (Talonid Basin) F ratio 2.7293, p< 0.1024 M1 Shearing (Trigonid Basin) F ratio 1.0823, p< 0.3013 Premolar Arcade F ratio 12.8941, p< 0.0006** Molar Arcade F ratio 12.5111, p< 0.0007** Canine Length F ratio 0.1526, p< 0.6971 Jaw Length F ratio 22.5358, p< 0.0001** Corpus Depth 1 F ratio 0.0724, p<0.7885 Corpus Depth 2 F ratio 12.6503, p<0.0006** Corpus Depth 3 F ratio 2.5461, p<0.1145 43 Carnassial-Coronoid F ratio 0.4680, p< 0.4959 Carnassial-Condyloid F ratio 22.2960, p<0.0001** Carnassial-Angular F ratio 1.2778, p< 0.2616 Carnassial-Masseter Fossa F ratio 0.6828, p< 0.4111 The length of the talonid basin of the carnassial and the length of the second molar were negatively correlated with centroid size when looking at the complete dataset (p-value=0.0023, R2=0.058; p-value=0.0003, R2=0.082, respectively). These patterns were consistent within each pit. The trend seen in the second molar length is stronger than the trend in the talonid basin, however. When examining only pit 61/67, only the regression of the second molar length vs. centroid size was significant (p-value= 0.0167, R2 =0.069). The talonid basin displayed a negative trend against centroid size, but was not significant (p-value=0.1024, R2= 0.032). In terms of sexual dimorphism, these results are consistent with trends seen in the extant gray wolf. C. lupus males have relatively larger body sizes and relatively smaller molars (O’Keefe et al., 2013). The trend of decreasing molar size with increasing centroid size can be seen in both of these global regressions (Figure 2). While it is not possible to differentiate individual C. dirus male specimens from female specimens, these trends suggest that the dire wolf displayed a similar degree of sexual dimorphism in their molars as extant gray wolves. The same result does not hold for coronoid height. Male gray wolves have been shown to have relatively taller coronoid processes. As such, we expected to see a positive correlation of coronoid height with centroid size based on these trends. Regressions against centroid size, both separated and not separated by pit, do not display a significant trend (Figure 2; Global regression: p-value=0.302, R2=0.007; Pit 61/67: p-value= 0.7450, R2=0.0013). 44 Figure 2. Black lines represent regression lines; red dotted lines represent confidence intervals. Top left Global regression of the length of the grinding portion of the carnassial against centroid size (pvalue=0.0023, R2=0.058). Top Right Global regression of the length of the second molar against centroid size (p-value=0.0003, R2=0.082). Bottom Left Global regression of coronoid height against centroid size (p-value=0.302, R2=0.007). 45 The ANOVA of the length of the upper carnassial (P4) showed that this tooth did not vary significantly among the pit (p<0.1450). Only pit 91 differed from pit 61/67. All other pit comparisons were not significant (Table 5). The ANOVA of the length of the trigonid basin of the lower carnassial did vary among the pits (p<0.0261; Table 5). Pit 91 wolves had longer trigonid basins than pits 2051 and 61/67. The mean value for pit 13 was also larger than that of pit 2051(Figure 3b).Finally, the ANOVA of the length of the talonid basin of the lower carnassial showed a significant difference among the pits (p<0.0297; Table 5). For this measurement, pit 13 had significantly higher values than the other pits (Figure 3c). All other comparisons among the pits were not significant. Table 5. Significance of pairwise comparisons of carnassial interlandmark distances among pits based on one-way Student's T tests among means. Stars indicate significance after Bonferroni correction. Also see Figure 3. Comparison 61/67- 61/67-13 61/67-91 13-91 2051-91 2051-13 2051 Upper P4 Length 0.5759 0.3033 0.0292** 0.2576 0.0763 0.5861 Trigonid Basin Length, lower m1 Talonid Basin Length, lower m1 0.2995 0.0659 0.0327** 0.5871 0.0159** 0.0311** 0.7666 0.0085** 0.5935 0.0159** 0.8862 0.0431** 46 Figure 3a. Plot of ANOVA of upper P4 Length among pits. The red lines represent estimates of the mean for each pit. Black lines indicate 95% confidence intervals. Pit 91 has the largest mean values, while pit 61/67 has the smallest mean values. Pits are arranged in chronological order, from oldest (left) to youngest (right). 47 Figure 3b. Plot of ANOVA of Trigonid Basin Length of upper m1 among pits. The red lines represent estimates of the mean for each pit. Black lines indicate 95% confidence intervals. Pit 91 has the largest mean values. 48 Figure 3c. Plot of ANOVA of Talonid Basin Length of upper m1 among pits. The red lines represent estimates of the mean for each pit. Black lines indicate 95% confidence intervals. Pit 13 has the largest mean values. 49 Discussion Lack of Evolutionary Response in the Corpus. An ANOVA of Corpus Depth 3 indicates no significant difference in bone depth directly posterior to the carnassial among most pits. The only significant difference is between pits 91 and 61/67 (See Results). However, pit 91 is not different from pit 2051 and pit 2051 is not different from any other pit, indicating no real difference among any of the pits. On the contrary, pit 91 has the lowest values of Corpus Depth 3, demonstrating the opposite of what was expected if high tooth breakage and wear pits responded with increased corpus depth. Looking at the other corpus depths measured, the Corpus Depth 1 ANOVA had the same results as Corpus Depth 3- no significant difference between the pits, except pit 13 is different from pit 2051. This may be attributable to neotenic effects, which can be seen in the shape of the jaws and skulls, in pit 13 (See Chapter 2; O’ Keefe et al., 2014). Wolves of this pit are stunted; it is possible that these jaws were not able to develop a more adult-like jaw morphology by relatively thinning out the corpus anteriorly (Milinkovic et al., 2010). The ANOVA of Corpus Depth 2 displays three significant differences among pits: 13 & 2051, 61/67 & 2051, and 13 & 61/67. Pit 13 wolves have the highest values, while wolves of pit 2051 have the thinnest corpora at Corpus Depth 2. Again, we see an ontogenetic stunting effect in wolves of pit 13; the corpus has not been allowed to thin out anteriorly, as shown in Corpus Depth 1. Wolves of pit 2051 have relatively thinner corpora directly anterior to the carnassial; wolves of this pit are not ontogenetically stunted (See Chapter 2, PC 1) and may be displaying adult corpus morphology of thinning towards the front of the jaw, the most out of the four pits. It would be valuable if another corpus depth could have been calculated, one that was more caudal to Corpus Depth 3. It has been suggested that canids use the carnassial, specifically, 50 the trigonid basin, in bone cracking, much like borophagine canids (Biknevicius and Ruff; 1992; Werdelin, 1989; Van Valkenburgh, 2007). If bone depth is greatest behind the site of bone cracking, another more caudal corpus depth measurement may have revealed an adaptive response to increased nutrient stress. Overall, from my results, corpus depths do not vary among the pits and have not reflected any evolutionary responses to increased nutrient stress. Sexual Dimorphism in Corpus Depth. After determining molar size, particularly the size of the second molar, as sexually dimorphic in the dire wolf (see below), regressions of corpus depths against centroid size and M2 size were completed. Through examination of these regressions (Table 3), the overall dataset shows positive allometry in both Corpus Depth 2 and Corpus Depth 3 with centroid size (significant increase in both corpus depths with increasing centroid size). Corpus Depth 2 and Corpus Depth 3 both significantly decrease with increasing second molar size. These trends in relation to centroid size and the second molar size suggest that relative corpus depth under the molar arcade is greater in males. Looking at pit 61/67 specimens, the only significant regressions are centroid size vs. Corpus Depth 2 and second molar length vs. Corpus Depth 3. The regressions of centroid size vs. Corpus Depth 3 and second molar length vs. Corpus Depth 2 display the same trends as the overall data set, but are not significant. The trends in pit 61/67 still indicate that males have thicker corpora than females. Corpus depth is both sexually dimorphic and reflective of static allometry. In summary, females do not have more hyena-like corpora, even if they may have more completely processed carcasses as indicated by their relatively larger molars. Instead, females move down the static allometry axis relative to males. Although not much can be said statistically, Corpus Depth 1 is interesting nonetheless. From the overall dataset, second molar length vs. Corpus Depth 1 was significant; with increasing second molar size, Corpus Depth 1 also increased. Second molar length vs. Corpus 51 Depth 1 for only 61/67 specimens was not significant, but displayed the same trend and was very close to being significant. Neither centroid size vs. Corpus Depth 1 regressions for the complete dataset nor 61/67 only were significant. However, due to the trends against second molar length, it can be inferred that females have relatively deeper corpora underneath the beginning of the premolar arcade than males. The same pattern can be found in extant gray wolves. Milenkovic et al. (2010) compared cranial and mandible shape variables among both females and males of two populations of gray wolves. In terms of allometric shape change, larger mandibles (representative of males) tended to be more narrow. This agrees with the Corpus Depth 1 trend found in the overall dataset. This agreement between the gray wolf study (Milenkovic et al., 2010) and this study would indicate a weak sexually dimorphic signal in Corpus Depth 1. However, Milenkovic et al (2010) had one less landmark on the ventral border of the mandible from the study I conducted; it is possible there is a trend in corpus thickness in these gray wolves that is not being picked up due to the lack of this landmark. Sexual Dimorphism of Other Elements. Regressions of molar interlandmark distances against centroid size indicate sexual dimorphism. The length of the talonid basin, or grinding area, of the carnassial and the length of the second molar are both negatively allometric, or decrease with increasing centroid size (Figure 2). Small body sizes have relatively larger molars, which is consistent with patterns found in female C. lupus (O’Keefe et al., 2013). These trends are also evident in each individual pit, indicating this pattern did not change through time. The molar interlandmark regressions agree with the interpretation of PC3 (See Chapter 2). Both PC3 and molar regressions display the same relationship between centroid size and molar size, and are not time dependent, indicating a sexually dimorphic molar signal in the dire wolf. However, my results do not support a sexually dimorphic signal in the coronoid process, as seen in the gray 52 wolf. The global regression shows no correlation between coronoid height and centroid size. There are several possibilities for the lack of detection of this trend in the dire wolf specimens. First, the coronoid height signal was not as strong as the molar signal in gray wolves, so we may not have the power to detect this pattern. Second, the coronoid process is subject to evolutionary change in orientation, as seen in PC 2 (See Chapter 2), which may be masking the signal. Or, finally, the dire wolf may not display this trend at all and is not sexually dimorphic in coronoid height like C. lupus. It is important to note that most bony measures of the jaw have positively allometric trends; because the coronoid process is of the bony jaw, other features, such as coronoid process width, show the coronoid process is different along the static allometry axis even though coronoid height lacks a significant correlation to centroid size. Additionally, as discussed in Chapter 2 (under description of PC 4), the placement of landmark 13, which was involved in calculating coronoid height, is more subjective, in the x-dimension, than any other landmark and may create noise in this specific landmark. The variance of landmark 13 in the ydimension, however, was similar to that of the other landmarks. Since coronoid height focuses on the y-dimension of landmark 13, I believe noise in this landmark had a minimal effect in calculations of coronoid height. Taking all 15 linear measurements into consideration, three measurements displayed significantly positive relationships with centroid size: Corpus Depth 2, Jaw Length, and Canasssial-Condyloid. The relationship between centroid size and Corpus Depth 2 has already been determined to be sexually dimorphic (see above for discussion). This measurement also represents static allometry, with larger wolves having deeper corpora at the beginning of the molar arcade. Comparing Corpus Depth 2 among the different pits, pit 13 is different from the other pits and has the largest relative values. This could be evidence of an evolutionary response 53 to nutrient stress in pit 13 or ontogenetic responses. As discussed above, canids use their carnassial, as well as their other molars, in bone cracking; a thicker corpus underneath the carnassial would help resist higher bending stresses during bone cracking (Biknevicius and Ruff, 1992). Size is inherently included in the measurement of Jaw Length. Much of this measurement is static allometric growth. However, since males have larger body sizes than females, this is also a sexually dimorphic characteristic. Much of jaw length is attributable to the bony part of the jaw, here specifically the ramus of the mandible. The dental row reaches maturity in gray wolves around 7 to 9 months, whereas the rest of the jaw can continue to grow for up to 2 years (O’Keefe et al., 2014; Kreeger, 2003; see Chapter 2, discussion of PC 1). This contribution to jaw length by the ramus can be seen in the significantly positive correlation between the carnassial-condyloid measurement and centroid size. Larger wolves have a bigger, wider ramus. Again, since males are larger than females, this implies that this measurement should also be sexually dimorphic. Since the ramus of the mandible is wider in males, this may allow for a larger area of attachment for the masseter and temporalis muscles. Because modern male gray wolves have been shown to be more successful in handling prey (O’Keefe et al., 2013), a larger ramus for larger muscles may also reflect this behavior in male dire wolves. Three linear measurements taken were shown to have significantly negative relationships with centroid size; these include M2 Length, Premolar Arcade, and Molar Arcade. The second molar length has already been discussed as a sexually dimorphic characteristic (see above). Female dire wolves have relatively larger second molars than males, similar to the extant gray wolf (O’Keefe et al., 2013). Conversely, the Premolar Arcade trend is a result of ontogenetic 54 allometry. Due to the bony jaw continuing to grow around the teeth, the relative size of the premolar arcade decreases as the bony jaw, especially the ramus, and centroid size increases. The Molar Arcade measurement is the most interesting of the three that inversely correlate with centroid size. It is critical when evaluating this measurement to remember that the length of the molar arcade includes both the carnassial and the second molar. It has already been determined that the second molar length is sexually dimorphic, and so the molar arcade length includes some sexual dimorphism. However, both the trigonid and talonid basins of the carnassial do not significantly change with centroid size, indicating the carnassial is not sexually dimorphic. Prior studies have also indicated that dimorphism in the carnassial is due to feeding differences rather than differences among the sexes (Gittleman and Van Valkenburgh, 1997). The entire arcade can be seen to have a negative correlation with centroid size due to static allometry for the same reason the premolar arcade is interpreted this way-the bony jaw continues to grow around the teeth, making the relative length of the molar arcade decrease with increasing centroid size. The Molar Arcade measurement does, however, separate the pits into two groupspits 13 and 91 clump together, while pits 2051 and 61/67 group with one another. This is the only measurement that splits the high tooth breakage and wear pits form the pits of low breakage and wear. I hypothesize the Molar Arcade is also picking up an evolutionary signal to times of increased nutrient stress. Looking at differences among the pits for the trigonid and talonid basins, pit 13 has the largest values for both measures. Pit 91 has similar values as pit 13 for the trigonid basin, but not the talonid basin. This may be an evolutionary response to increased nutrient stress, since canids utilize their carnassials, specifically the trigonid basin, in bone cracking (Biknevicius and Ruff, 1992; Biknevicius and Van Valkenburgh, 1996; Werdelin, 1989 55 Van Valkenburgh 2007). Overall, the Molar Arcade seems to be both sexually dimorphic and allometric, in addition to revealing an evolutionary effect to nutrient stress. New Body Size Estimation. Due to conflicting body size estimates generated from dire wolf skulls and jaws, a new body indicator was needed. The results of the upper carnassial (P4) and the trigonid basin of the lower carnassial (m1) show similar patterns among the pits. In both proxies for body size, pit 91 contains the largest wolves. Pit 13 has the next largest mean body size. The pattern for pits 2051 and 61/67 differ between these measurements. Pit 2051 wolves are smallest according to the jaw data, but the cranial data results in the mean body size of pit 61/67 as being the smallest. However, in both measurement s comparisons among pits 2051 and 61/67 are not significantly different and confidence intervals overlap. Although body size estimates from P4 and the trigonid basin of m1, these estimates still do not seem to follow a temporal Bergmann’s rule. Pit 91 wolves are still the largest wolves, while pit 2051, a time of cold climate, has relatively small wolves. It seems as though wolves under assumed nutrient stress, pits 91 and 13, have larger body sizes in relation to wolves under lower nutrient stress (O’Keefe et al., 2014). This increase in body size may be due to an increase in intra- and interspecific competition for food sources, a response similar to that of coyotes, or a change in prey (Meachen and Samuels, 2012; DeSantis et al.,2012 ). However, pit 61/67 wolves seem to be adapted to warm climate, having an overall more gracile morphology and a small body size (O’Keefe et al., 2014). Both climate and environmental factors may be the causalities of the pattern seen here. The talonid basin of m1reflects a different pattern among the pits from the pattern shown by P4 and the trigonid basin of m1. Pit 13 has significantly higher values than the other pits. This may implicate an evolutionary response to high nutrient stress, as inferred from the high 56 incidences of tooth breakage and wear (O’Keefe et al., 2014). The increase in length of this tooth basin may be advantageous to more completely utilizing carcasses by allowing more surface area to aid in food processing. However, both pit 91 and pit 13 show higher incidences in tooth breakage and wear. It is possible that only pit 13 is showing this response because these wolves are stunted further down the ontogenetic axis, while only late-stage truncation of growth affected pit 91 wolves. The breakage and wear event of pit 13 may have been more severe than the event in pit 91(or began in pit 91 only after dental maturity was reached in the population), thus inducing an evolutionary response in the talonid basin of m1 (O’Keefe et al., 2014). Conclusion. Allometric components of the dire wolf mandible have been determined from the designated linear measurements. While corpus depth was determined not to contain an evolutionary response and to have only a weak sexually dimorphic signal in Corpus Depth 1, the second molar length revealed that females have relatively larger M2s. The bony growth of the jaw relative to dental maturity reflects the relationships seen in jaw length, carnassial-condyloid distance, the premolar arcade, and the molar arcade with centroid size. Interestingly, the molar arcade also exhibited evidence for an evolutionary response to nutrient stress. Additionally, body size estimates from the crania and jaws now agree due to the use of a dental measurement, instead of centroid size. 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Specimen #_Pit # Pit # Side lnCentroid Centroid Size Size Coronoid ln Coronoid Height Height 2301-L-101_13 13 L 7.86019065 2592.015 0.299452872 -1.20579823 2301-L-106_61-67 6167 L 8.00486441 2995.494 0.299878022 -1.204379481 2301-L-109_61-67 6167 L 7.90080809 2699.463 0.298282709 -1.209713554 2301-L-10_61-67 6167 L 7.97077985 2895.114 0.297839358 -1.211201005 2301-L-120_61-67 6167 L 7.94454879 2820.16 0.315947511 -1.152179184 2301-L-123_61-67 6167 L 7.99010739 2951.614 0.297404366 -1.212662564 2301-L-12_61-67 6167 L 7.90136079 2700.955 0.310634369 -1.169138721 2301-L-140_61-67 6167 L 7.92484344 2765.131 0.315768525 -1.152745848 2301-L-143_13 13 L 7.87456488 2629.542 0.310068697 -1.170961403 2301-L-148_61-67 6167 L 7.94243691 2814.21 0.300270064 -1.203072996 2301-L-154_61-67 6167 L 7.90699775 2716.223 0.292710797 -1.228570198 2301-L-155_61-67 6167 L 7.9442136 0.306678464 -1.181955428 2301-L-156_61-67 6167 L 7.96296179 2872.568 0.30887886 -1.174806119 2819.215 69 2301-L-164_61-67 6167 L 7.93838327 2802.825 0.307384718 -1.179655162 2301-L-167_61-67 6167 L 7.91911315 2749.332 0.307355811 -1.179749208 2301-L-173_13 13 L 7.93438705 2791.647 0.30645195 -1.182694305 2301-L-185_61-67 6167 L 7.94151154 2811.607 0.306712654 -1.181843952 2301-L-186_61-67 6167 L 7.89935566 2695.545 0.308737916 -1.17526253 2301-L-193_61-67 6167 L 7.91126199 2727.831 0.296977478 -1.214098976 2301-L-203_61-67 6167 L 7.95037126 2836.628 0.283762043 -1.259619269 2301-L-210_61-67 6167 L 7.92083107 2754.059 0.315318403 -1.154172347 2301-L-211_61-67 6167 L 7.99520605 2966.702 0.303186823 -1.193406087 2301-L-218_61-67 6167 L 7.98771741 2944.568 0.323153759 -1.129627035 2301-L-242_61-67 6167 L 7.98803542 2945.505 0.297210254 -1.213315464 2301-L-244_61-67 6167 L 7.95832331 2859.275 0.294388031 -1.222856547 2301-L-245_61-67 6167 L 7.95375408 2846.24 0.29183072 -1.23158137 2301-L-246_61-67 6167 L 7.90134218 2700.905 0.297721515 -1.211596744 2301-L-28_61-67 6167 L 7.91138507 2728.167 0.30520981 -1.186755838 2301-L-419_13 13 L 7.83471683 2526.82 0.301506135 -1.198964914 70 2301-L-425_61-67 6167 L 7.89747398 2690.478 0.311782073 -1.16545082 2301-L-428_61-67 6167 L 7.98286283 2930.308 0.302893746 -1.194373208 2301-L-42_61-67 6167 L 7.99955097 2979.62 0.30377898 -1.191454882 2301-L-430_61-67 6167 L 7.94617642 2824.754 0.298277686 -1.209730394 2301-L-433_61-67 6167 L 7.96509633 2878.706 0.301675154 -1.198404489 2301-L-447_13 13 L 7.82656003 2506.293 0.299518996 -1.205577437 2301-L-44_61-67 6167 L 7.93117193 2782.686 0.300127452 -1.203548055 2301-L-451_13 13 L 7.86726196 2610.408 0.332824256 -1.100140687 2301-L-455_61-67 6167 L 7.89336074 2679.434 0.300427579 -1.202548555 2301-L-466_13 13 L 7.91279026 2732.003 0.323431333 -1.12876845 2301-L-468_13 13 L 7.85403723 2576.114 0.312645295 -1.162685975 2301-L-469_61-67 6167 L 7.86497541 2604.446 0.303632737 -1.191936409 2301-L-474_13 13 L 7.82478356 2501.845 0.30218366 -1.196720302 2301-L-475_13 13 L 7.85750525 2585.063 0.297247731 -1.213189376 2301-L-482_61-67 6167 L 7.85774928 2585.694 0.295031177 -1.220674243 2301-L-48_61-67 6167 L 7.88820944 2665.667 0.318967768 -1.142665223 71 2301-L-490_13 13 L 7.8435148 2549.149 0.306614768 -1.182163146 2301-L-493_61-67 6167 L 7.84318652 2548.312 0.298085032 -1.210376491 2301-L-4_61-67 6167 L 8.01350509 3021.489 0.291094389 -1.234107704 2301-L-500_13 13 L 7.87699078 2635.929 0.294143487 -1.223687581 2301-L-509_61-67 6167 L 7.89589543 2686.234 0.312397744 -1.163478083 2301-L-50_61-67 6167 L 7.97838264 2917.209 0.306541841 -1.182401021 2301-L-511_61-67 6167 L 7.98439092 2934.789 0.305222762 -1.186713401 2301-L-514_61-67 6167 L 7.97267447 2900.605 0.306518658 -1.18247665 2301-L-516_61-67 6167 L 7.98301922 2930.766 0.303409046 -1.192673397 2301-L-517_61-67 6167 L 7.92982046 2778.928 0.290607267 -1.23578252 2301-L-518_61-67 6167 L 7.9512671 0.289138113 -1.240850807 2301-L-537_61-67 6167 L 7.90636201 2714.497 0.296006183 -1.217374936 2301-L-63_13 13 L 7.91830158 2747.101 0.302016893 -1.197272326 2301-L-64_61-67 6167 L 7.95386413 2846.553 0.294642544 -1.221992373 2301-L-65_61-67 6167 L 8.01844266 3036.445 0.294147211 -1.223674919 2301-L-66_61-67 6167 L 7.91407363 2735.511 0.280630268 -1.270717248 2839.17 72 2301-L-68_61-67 6167 L 7.91268058 2731.703 0.299094253 -1.206996529 2301-L-70_13 13 L 7.90953228 2723.117 0.301682166 -1.198381248 2301-L-72_13 13 L 7.88021163 2644.432 0.313911647 -1.158643711 2301-L-74_61-67 6167 L 7.95680585 2854.939 0.297930649 -1.210894542 2301-L-79_61-67 6167 L 7.97642668 2911.509 0.291719701 -1.231961867 2301-L-81_61-67 6167 L 7.96674491 2883.456 0.297351945 -1.21283884 2301-L-84_61-67 6167 L 7.97147079 2897.115 0.295124381 -1.22035838 2301-L-85_61-67 6167 L 8.00617492 2999.422 0.290117948 -1.237467722 2301-L-92_13 13 L 7.90823341 2719.582 0.29453884 -1.222344401 2301-L-93_13 13 L 7.91400803 2735.332 0.297656674 -1.211814557 2301-L-95_61-67 6167 L 7.94826242 2830.652 0.306850809 -1.181393614 2301-L-97_61-67 6167 L 7.92533536 2766.492 0.262456339 -1.337670538 2301-L-99_61-67 6167 L 7.84329887 2548.598 0.295611487 -1.21870923 28662_2051 2051 R 7.9332599 2788.502 0.298445631 -1.209167504 28663_2051 2051 R 7.9369596 2798.838 0.315132604 -1.154761763 28720_2051 2051 R 7.96878024 2889.331 0.322701357 -1.131027976 73 28736_2051 2051 R 7.87006225 2617.729 0.315697485 -1.152970849 28738b_2051 2051 R 7.91188192 2729.522 0.320757262 -1.137070635 28739_2051 2051 R 7.94368243 2817.717 0.319054146 -1.142394454 28756_2051 2051 R 7.94796081 2829.799 0.332762443 -1.100326428 28758_2051 2051 R 7.94785273 2829.493 0.322198718 -1.132586788 29041_2051 2051 R 7.9071295 2716.581 0.303686953 -1.191757868 29049_2051 2051 R 7.9066746 2715.346 0.314288949 -1.157442497 29056_2051 2051 R 7.86741088 2610.797 0.306120193 -1.183777466 29068_2051 2051 R 7.89580993 2686.004 0.289152689 -1.240800396 29075_2051 2051 R 7.92008774 2752.012 0.310159605 -1.170668261 29082_2051 2051 R 7.92839326 2774.965 0.314167153 -1.157830099 76919_2051 2051 R 7.83766721 2534.286 0.313529766 -1.159860977 associated with 2301-R-214_61-67 6167 L 8.01044723 3012.264 0.297568118 -1.212112113 JR3_2051 2051 R 7.87375493 2627.413 0.301731419 -1.198217997 LACMHC 54899_13 13 L 7.82098797 2492.367 0.291101729 -1.234082489 LACMHC 54901_13 13 L 7.90431813 2708.955 0.315534175 -1.153488284 74 LACMHC 54903_13 13 L 7.86175584 2596.075 0.320850541 -1.13677987 LACMHC 54909_13 13 L 7.87475813 2630.05 0.292433629 -1.229517546 LACMHC 54912_13 13 L 7.93222644 2785.622 0.291181894 -1.233807142 LACMHC 54913_13 13 L 7.86358145 2600.818 0.299956125 -1.204119064 LACMHC 54917_13 13 L 7.97248724 2900.062 0.279436356 -1.274980719 LACMHC 54921_13 13 L 7.89511492 2684.138 0.318076669 -1.145462829 LACMHC 54922_13 13 L 7.85484388 2578.193 0.300207556 -1.203281192 LACMHC 54924_13 13 L 7.87936933 2642.206 0.296955584 -1.214172699 LACMHC 54940_13 13 L 7.85510307 2578.861 0.296211437 -1.216681764 LACMHC 54943_13 13 L 7.84267528 2547.01 0.287906016 -1.245121184 LACMHC 54958_13 13 L 7.84103929 2542.846 0.318594342 -1.14383664 LACMHC 54959_13 13 L 7.86246458 2597.915 0.307458169 -1.179416235 LACMHC 54962_13 13 L 7.85029725 2566.497 0.318709252 -1.143476026 LACMHC 54975_13 13 L 7.84186778 2544.954 0.300464349 -1.202426172 LACMHC 54976_13 13 L 7.85973147 2590.825 0.293103351 -1.22723 LACMHC 54977_13 13 L 7.88802649 2665.179 0.321870341 -1.133606481 75 LACMHC 54983_13 13 L 7.90081502 2699.482 0.306872269 -1.181323678 LACMHC 55509_61-67 6167 L 7.94024728 2808.055 0.29165141 -1.232195992 LACMHC 55513_61-67 6167 L 7.88718154 2662.928 0.306777558 -1.181632359 LACMHC 55516_61-67 6167 L 7.90865057 2720.717 0.303407096 -1.192679823 LACMHC 55518_61-67 6167 L 7.85323401 2574.045 0.306186146 -1.183562043 LACMHC 55520_61-67 6167 L 7.9038449 2707.673 0.317198411 -1.148227798 LACMHC 55521_61-67 6167 L 7.88438566 2655.493 0.298116764 -1.210270043 LACMHC 55660_61-67 6167 L 7.93123277 2782.855 0.294986582 -1.22082541 LACMHC 55665_61-67 6167 L 7.92143724 2755.729 0.29485992 -1.221254882 LACMHC 55666_61-67 6167 L 8.00820454 3005.516 0.290061852 -1.237661095 LACMHC 55667_61-67 6167 L 7.9771287 2913.553 0.293386047 -1.226265969 LACMHC 55675_61-67 6167 L 7.97152389 2897.269 0.302028253 -1.197234712 LACMHC 55681_61-67 6167 L 7.8967662 2688.574 0.291800988 -1.231683257 LACMHC 55683_61-67 6167 L 7.96658224 2882.987 0.301881343 -1.197721244 LACMHC 55685_61-67 6167 L 7.89232363 2676.656 0.300776445 -1.201387997 LACMHC 55691_61-67 6167 L 7.97757837 2914.864 0.291469146 -1.232821124 76 LACMHC 55692_61-67 6167 L 7.98596001 2939.398 0.2912489 -1.233577051 LACMHC 55693_61-67 6167 L 7.93209913 2785.267 0.295473496 -1.219176139 LACMHC 55694_61-67 6167 L 7.84064574 2541.846 0.288441826 -1.243261856 LACMHC 55695_61-67 6167 L 7.83591056 2529.838 0.284999304 -1.25526854 LACMHC 675_61-67 6167 L 7.93665926 2797.997 0.311393347 -1.166698384 LACMHC 676_61-67 6167 L 7.91041489 2725.521 0.290566718 -1.235922064 LACMHC 680_61-67 6167 L 7.89915836 2695.013 0.295560257 -1.218882549 LACMHC 681_61-67 6167 L 7.89941516 2695.705 0.297520668 -1.212271583 LACMHC 682_61-67 6167 L 7.94112334 2810.516 0.305111338 -1.187078526 LACMHC 683_61-67 6167 L 7.95661931 2854.407 0.301887769 -1.197699957 R17460_91 91 L 8.00163951 2985.849 0.301855 -1.19780851 R17488_91 91 L 7.97918986 2919.565 0.28538309 -1.253922826 R17928_91 91 L 7.92254701 2758.789 0.298048556 -1.210498866 R18664_91 91 L 7.96743108 2885.435 0.312603701 -1.162819022 R27246_91 91 L 7.85384794 2575.626 0.287340513 -1.247087309 R28351_91 91 L 7.91906572 2749.201 0.309781145 -1.171889216 77 R28379_91 91 L 8.00932313 3008.88 0.28976655 -1.238679679 R28913_91 91 L 7.94071979 2809.382 0.294325811 -1.223067926 R30721_91 91 L 7.91345398 2733.817 0.299732082 -1.204866264 R30746_91 91 L 7.99167998 2956.259 0.300448363 -1.202479375 R31305_91 91 L 7.88981604 2669.953 0.280904854 -1.269739263 R34526_91 91 L 7.95971562 2863.259 0.296913252 -1.214315263 R34706_91 91 L 8.02481681 3055.861 0.285266547 -1.254331283 R38491_91 91 L 7.94233827 2813.933 0.271605913 -1.303403113 R39009_91 91 L 7.81077708 2467.047 0.281057332 -1.269196601 R39376_91 91 L 7.98283721 2930.233 0.299377656 -1.20604944 R39566_91 91 L 7.88071553 2645.765 0.289670238 -1.239012113 R39965_91 91 L 7.90904221 2721.782 0.282503205 -1.264065382 R40942_91 91 L 7.90608347 2713.741 0.295967769 -1.21750472 R52965_91 91 L 7.84525254 2553.582 0.282140873 -1.265348783 R53460_91 91 L 7.91031752 2725.256 0.300812439 -1.201268334 R53878_91 91 L 7.96877102 2889.304 0.296669544 -1.215136407 78 Specimen #_Pit # M2 size 2301-L-101_13 ln M2 size M1 Grinding ln M1 grinding M1 Shearing ln M1 Shearing 0.03015419 -3.5014315 0.0343449 -3.3713017 0.08823617 -2.4277384 2301-L-106_61-67 0.046379 -3.0709084 0.03399546 -3.3815283 0.09615369 -2.3418074 2301-L-109_61-67 0.04956342 -3.0045022 0.03396187 -3.3825169 0.09520413 -2.351732 2301-L-10_61-67 0.05043452 -2.9870793 0.02561159 -3.6647103 0.09511816 -2.3526354 2301-L-120_61-67 0.05023927 -2.9909583 0.03230077 -3.4326641 0.09997234 -2.3028618 2301-L-123_61-67 0.05045811 -2.9866118 0.03388654 -3.3847373 0.09725619 -2.3304067 2301-L-12_61-67 0.05011242 -2.9934865 0.0293985 -3.5268118 0.10061319 -2.2964719 2301-L-140_61-67 0.04842418 -3.027756 0.03096252 -3.4749779 0.09281006 -2.3772002 2301-L-143_13 0.0560015 -2.8823768 0.03682773 -3.3015041 0.1015564 -2.2871409 2301-L-148_61-67 0.04877609 -3.0205151 0.03172089 -3.4507799 0.09273272 -2.3780339 2301-L-154_61-67 0.0474353 -3.4527856 0.09738463 -2.3290869 2301-L-155_61-67 0.05049338 -2.985913 -3.3157448 0.09081652 -2.3989141 2301-L-156_61-67 0.05179046 -2.9605492 0.03561903 -3.3348752 0.09552786 -2.3483374 2301-L-164_61-67 0.05555395 -2.8904006 0.02971811 -3.5159987 0.09532046 -2.3505108 2301-L-167_61-67 0.05078879 -2.9800795 0.03607482 -3.3221601 0.08704276 -2.4413558 -3.0483886 0.03165733 0.036307 79 2301-L-173_13 0.05108754 -2.9742146 0.04083768 -3.1981501 0.08992178 -2.4088151 2301-L-185_61-67 0.04881347 -3.0197489 0.03600869 -3.323995 0.09410976 -2.3632935 2301-L-186_61-67 0.0490399 -3.0151211 0.03378997 -3.3875913 0.09201563 -2.3857968 2301-L-193_61-67 0.05184 -2.9595932 0.03503396 -3.3514373 0.0953096 -2.3506247 2301-L-203_61-67 0.05399716 -2.9188238 0.03609617 -3.3215685 0.09198634 -2.3861152 2301-L-210_61-67 0.05411659 -2.9166144 0.03668033 -3.3055147 0.09236251 -2.3820341 2301-L-211_61-67 0.04843096 -3.0276159 0.03294721 -3.4128486 0.09691 -2.3339725 2301-L-218_61-67 0.04845464 -3.0271272 0.02797598 -3.5764091 0.09611878 -2.3421706 2301-L-242_61-67 0.04174889 -3.1760825 0.03310608 -3.4080383 0.09170911 -2.3891336 2301-L-244_61-67 0.04910565 -3.0137812 0.03478629 -3.3585319 0.09240129 -2.3816144 2301-L-245_61-67 0.05099768 -2.9759751 0.03730173 -3.2887155 0.09203852 -2.385548 2301-L-246_61-67 0.05374696 -2.9234683 0.03299142 -3.4115078 0.09331528 -2.3717714 2301-L-28_61-67 0.04921288 -3.0115999 0.03601308 -3.3238731 0.09006684 -2.4072032 2301-L-419_13 0.05533913 -2.8942749 0.03033658 -3.495401 0.09583632 -2.3451135 2301-L-425_61-67 0.04777947 -3.0411593 0.0335441 -3.3948943 0.09371749 -2.3674704 2301-L-428_61-67 0.05136857 -2.9687287 0.03369338 -3.3904539 0.08455082 -2.4704025 80 2301-L-42_61-67 0.0503073 -2.9896051 0.03356805 -3.3941806 0.09104775 -2.3963712 2301-L-430_61-67 0.05471193 -2.9056736 0.02842926 -3.5603363 0.09182122 -2.3879118 2301-L-433_61-67 0.04452001 -3.1118165 0.03161333 -3.4541763 0.09869761 -2.3156946 2301-L-447_13 0.0560216 -3.21691 0.11257406 -2.184144 2301-L-44_61-67 0.05080791 -2.9797032 0.03738087 -3.2865962 0.08699306 -2.4419269 2301-L-451_13 0.05301775 -2.9371285 0.03545111 -3.3396008 0.09741131 -2.3288129 2301-L-455_61-67 0.04765013 -3.0438699 0.03287667 -3.414992 0.0871195 -2.4404745 2301-L-466_13 0.03577762 -3.3304328 0.03388514 -3.3847787 0.09838701 -2.3188465 2301-L-468_13 0.05625554 -2.8778507 0.03299771 -3.411317 0.09736861 -2.3292514 2301-L-469_61-67 0.05989757 -2.8151193 0.03795175 -3.2714395 0.08358668 -2.4818711 2301-L-474_13 0.05524902 -2.8959047 0.0313125 -3.4637379 0.08746603 -2.4365048 2301-L-475_13 0.05447137 -2.91008 0.03948778 -3.2317641 0.09487072 -2.3552402 2301-L-482_61-67 0.05078722 -2.9801106 0.03301846 -3.4106885 0.09856115 -2.3170781 2301-L-48_61-67 0.04912195 -3.0134494 0.03368963 -3.3905651 0.09623511 -2.3409611 2301-L-490_13 0.05188293 -2.9587654 0.04072431 -3.2009301 0.10047547 -2.2978417 2301-L-493_61-67 0.05769057 -2.8526615 0.04585066 -3.0823657 0.09964677 -2.3061236 -2.8820179 0.04007871 81 2301-L-4_61-67 0.04857152 -3.024718 0.03523781 -3.3456356 0.09817604 -2.3209931 2301-L-500_13 0.05231497 -2.9504727 0.03634464 -3.3147086 0.09596562 -2.3437653 2301-L-509_61-67 0.05170244 -2.9622504 0.03897278 -3.2448918 0.09403591 -2.3640785 2301-L-50_61-67 0.05302783 -2.9369384 0.03010538 -3.5030515 0.09093333 -2.3976286 2301-L-511_61-67 0.05153291 -2.9655346 0.03541729 -3.3405551 0.09335156 -2.3713827 2301-L-514_61-67 0.04895653 -3.0168225 0.0362256 -3.3179891 0.09122226 -2.3944563 2301-L-516_61-67 0.04587943 -3.0817384 0.03356519 -3.3942657 0.09264905 -2.3789366 2301-L-517_61-67 0.04507197 -3.0994948 0.03893215 -3.2459348 0.09949409 -2.307657 2301-L-518_61-67 0.04828952 -3.0305408 0.03317938 -3.4058267 0.09298758 -2.3752893 2301-L-537_61-67 0.05347276 -2.9285829 0.03344873 -3.3977416 0.09212019 -2.3846611 2301-L-63_13 0.05148021 -2.9665578 0.03028157 -3.497216 0.08892899 -2.419917 2301-L-64_61-67 0.05181795 -2.9600188 0.03589648 -3.3271162 0.08739022 -2.4373719 2301-L-65_61-67 0.04640901 -3.0702617 0.02732666 -3.5998924 0.08612155 -2.4519956 2301-L-66_61-67 0.04660025 -3.0661494 0.0301827 -3.5004864 0.09435829 -2.3606561 2301-L-68_61-67 0.05288822 -2.9395746 0.03479032 -3.3584161 0.08982723 -2.4098671 2301-L-70_13 0.05626358 -2.8777079 0.04347097 -3.1356619 0.09492498 -2.3546684 82 2301-L-72_13 0.04989614 -2.9978116 0.03532241 -3.3432376 0.08883699 -2.4209522 2301-L-74_61-67 0.05063313 -2.9831493 0.03468382 -3.361482 0.08689877 -2.4430114 2301-L-79_61-67 0.04940281 -3.007748 0.03004088 -3.5051963 0.08697252 -2.4421631 2301-L-81_61-67 0.04900898 -3.0157517 0.03896748 -3.2450278 0.10457223 -2.2578773 2301-L-84_61-67 0.0458558 -3.0822535 0.03560785 -3.3351891 0.09575617 -2.3459502 2301-L-85_61-67 0.0580016 -2.8472848 0.04470636 -3.1076395 0.08169057 -2.5048167 2301-L-92_13 0.05246319 -2.9476434 0.03344486 -3.3978571 0.09843817 -2.3183266 2301-L-93_13 0.04766662 -3.0435239 0.03526535 -3.3448543 0.09786249 -2.324192 2301-L-95_61-67 0.04915483 -3.0127801 0.03182814 -3.4474045 0.09495425 -2.3543601 2301-L-97_61-67 0.05081431 -2.9795773 0.03462937 -3.3630531 0.09301621 -2.3749815 2301-L-99_61-67 0.06238846 -2.7743749 0.02946976 -3.5243905 0.09517116 -2.3520783 28662_2051 0.05205362 -2.9554809 0.03596361 -3.3252478 0.09104172 -2.3964374 28663_2051 0.05694844 -2.8656089 0.03489767 -3.3553352 0.09055269 -2.4018234 28720_2051 0.05154464 -2.9653071 0.03181493 -3.4478195 0.08723527 -2.4391465 28736_2051 0.05504267 -2.8996465 0.03626084 -3.317017 0.08939375 -2.4147045 28738b_2051 0.05243494 -2.9481821 0.0369647 -3.2977919 0.0931438 -2.3736107 83 28739_2051 0.04793609 -3.0378866 0.03333956 -3.4010105 0.09430721 -2.3611977 28756_2051 0.05431058 -2.9130362 0.03398351 -3.3818797 0.09194727 -2.38654 28758_2051 0.04712167 -3.0550223 0.02983 -3.5122407 0.0878148 -2.4325253 29041_2051 0.05402315 -2.9183425 0.03800276 -3.2700964 0.08454832 -2.4704321 29049_2051 0.05179109 -2.9605371 0.02935148 -3.5284122 0.10166719 -2.2860506 29056_2051 0.04729697 -3.051309 0.0275272 -3.5925806 0.1041109 -2.2622986 29068_2051 0.05452007 -2.9091863 0.0381948 -3.2650558 0.0903279 -2.4043089 29075_2051 0.0535056 -3.424431 0.08588543 -2.4547411 29082_2051 0.05497544 -2.9008688 0.03894611 -3.2455765 0.08846574 -2.4251399 76919_2051 0.05620636 -2.8787254 0.03393001 -3.3834553 0.08532057 -2.4613397 associated with 2301- 0.0592259 -2.8263964 0.03950657 -3.2312884 0.08398211 -2.4771515 JR3_2051 0.05052132 -2.9853598 0.03434925 -3.3711752 0.09236025 -2.3820586 LACMHC 54899_13 0.04996501 -2.9964323 0.0293882 -3.5271619 0.09272554 -2.3781114 LACMHC 54901_13 0.06129604 -2.7920401 0.03750786 -3.2832047 0.08564268 -2.4575715 LACMHC 54903_13 0.05471559 -2.9056065 0.04044567 -3.2077957 0.08834121 -2.4265486 -2.927969 0.03256781 R-214_61-67 84 LACMHC 54909_13 0.05443935 -2.910668 0.03931749 -3.2360859 0.09286813 -2.3765748 LACMHC 54912_13 0.04797674 -3.0370391 0.03987334 -3.2220473 0.08604969 -2.4528304 LACMHC 54913_13 0.04248445 -3.1586171 0.0349911 -3.3526616 0.09694139 -2.3336488 LACMHC 54917_13 0.04750517 -3.0469167 0.03605475 -3.3227168 0.09400385 -2.3644195 LACMHC 54921_13 0.05045942 -2.9865859 0.03350961 -3.3959229 0.09127089 -2.3939234 LACMHC 54922_13 0.04967899 -3.0021733 0.0306097 -3.4864384 0.09322493 -2.3727401 LACMHC 54924_13 0.05162359 -2.9637766 0.03149513 -3.4579225 0.09355678 -2.3691867 LACMHC 54940_13 0.0595006 -2.8217688 0.03842037 -3.2591676 0.09696529 -2.3334022 LACMHC 54943_13 0.05065828 -2.9826525 0.03504865 -3.3510182 0.0891734 -2.4171725 LACMHC 54958_13 0.05584017 -2.8852618 0.03640578 -3.3130277 0.09158233 -2.3905169 LACMHC 54959_13 0.05632532 -2.8766112 0.03399775 -3.3814609 0.09721523 -2.3308279 LACMHC 54962_13 0.05389529 -2.9207122 0.03547615 -3.3388947 0.0894043 -2.4145865 LACMHC 54975_13 0.05813837 -2.8449294 0.04328704 -3.139902 0.10142352 -2.2884502 LACMHC 54976_13 0.05455953 -2.9084629 0.04248208 -3.1586729 0.09407485 -2.3636646 LACMHC 54977_13 0.05226062 -2.9515122 0.04410426 -3.121199 0.10760661 -2.2292732 LACMHC 54983_13 0.05323026 -2.9331282 0.03705156 -3.2954448 0.08824287 -2.4276624 85 LACMHC 55509_61- 0.05537727 -2.8935861 0.03277064 -3.4182224 0.08637248 -2.4490862 -2.9733116 0.03719229 -3.2916538 0.09509722 -2.3528556 LACMHC 55516_61- 0.05166925 -2.9628925 0.03949925 -3.2314735 0.0900858 -2.4069927 -3.3505927 0.09088092 -2.3982052 0.03481228 -3.3577852 0.08962024 -2.412174 LACMHC 55521_61- 0.04987489 -2.9982376 0.03352389 -3.3954969 0.09730076 -2.3299485 -2.9468526 0.02701056 -3.6115274 0.09099047 -2.3970005 -2.9687945 0.03210006 -3.4388975 0.09110321 -2.3957622 67 LACMHC 55513_61- 0.0511337 67 67 LACMHC 55518_61- 0.05079172 -2.9800218 0.03506356 67 LACMHC 55520_61- 0.05260716 -2.944903 67 67 LACMHC 55660_61- 0.0525047 67 LACMHC 55665_61- 0.0513652 67 86 LACMHC 55666_61- 0.04548074 -3.0904664 0.03172566 -3.4506295 0.09250617 -2.3804799 -3.2948261 0.09202807 -2.3856616 -3.382357 0.0990612 -2.3120174 -3.2911465 0.09053237 -2.4020479 -3.4667726 0.08951202 -2.4133824 -3.4024894 0.0921711 -2.3841087 -3.1900867 0.08663092 -2.4460985 -3.3255112 0.09563654 -2.3472003 67 LACMHC 55667_61- 0.05266552 -2.9437943 0.03707449 67 LACMHC 55675_61- 0.04927469 -3.0103448 0.0339673 67 LACMHC 55681_61- 0.04720178 -3.0533237 0.03721116 67 LACMHC 55683_61- 0.04998311 -2.9960701 0.03121762 67 LACMHC 55685_61- 0.05724871 -2.8603501 0.03329029 67 LACMHC 55691_61- 0.05121393 -2.9717437 0.0411683 67 LACMHC 55692_61- 0.05142848 -2.9675631 0.03595413 67 87 LACMHC 55693_61- 0.05406025 -2.9176561 0.03001516 -3.5060527 0.09066179 -2.4006192 -3.2098913 0.09528197 -2.3509147 -3.2542862 0.09031918 -2.4044054 LACMHC 675_61-67 0.05011741 -2.9933868 0.03257231 -3.4242928 0.08640252 -2.4487384 LACMHC 676_61-67 0.05183721 -2.9596471 0.03876337 -3.2502796 0.08300836 -2.488814 LACMHC 680_61-67 0.05767619 -2.8529108 0.03675138 -3.3035796 0.09650944 -2.3381145 LACMHC 681_61-67 0.04768681 -3.0431003 0.03858167 -3.2549779 0.09420496 -2.3622825 LACMHC 682_61-67 0.05283339 -2.940612 0.03566772 -3.3335092 0.09406357 -2.3637844 LACMHC 683_61-67 0.04930279 -3.0097746 0.03369783 -3.3903217 0.09093417 -2.3976195 R17460_91 0.04792886 -3.0380374 0.0306386 -3.4854945 0.09505928 -2.3532546 R17488_91 0.04854805 -3.0252012 0.03255171 -3.4249253 0.09552351 -2.3483829 R17928_91 0.04875159 -3.0210174 0.03631298 -3.3155801 0.09881562 -2.3144996 R18664_91 0.0513693 -3.4061304 0.09534404 -2.3502635 67 LACMHC 55694_61- 0.05257796 -2.9454583 0.040361 67 LACMHC 55695_61- 0.04587488 -3.0818375 0.03860837 67 -2.9687145 0.0331693 88 R27246_91 0.05501315 -2.900183 0.03672656 -3.3042551 0.09663185 -2.3368469 R28351_91 0.05459161 -2.9078751 0.03759938 -3.2807676 0.09524346 -2.3513189 R28379_91 0.05507184 -2.8991167 0.03125676 -3.4655195 0.09616856 -2.3416527 R28913_91 0.05244199 -2.9480477 0.0347922 -3.3583621 0.09921819 -2.3104339 R30721_91 0.05207067 -2.9551534 0.03673948 -3.3039032 0.08712 -2.4404688 R30746_91 0.05462435 -2.9072755 0.03667333 -3.3057055 0.09725231 -2.3304465 R31305_91 0.0535079 0.03078743 -3.4806489 0.09116378 -2.3950976 R34526_91 0.05141727 -2.9677812 0.03535911 -3.3421992 0.08573774 -2.4564622 R34706_91 0.04983189 -2.9991002 0.03024271 -3.4985 0.09768428 -2.3260147 R38491_91 0.05062933 -2.9832242 0.03497327 -3.3531713 0.08908638 -2.4181488 R39009_91 0.06225017 -2.776594 0.04369062 -3.1306217 0.09919976 -2.3106196 R39376_91 0.04948411 -3.0061036 0.02900794 -3.5401857 0.09691581 -2.3339126 R39566_91 0.05123588 -2.9713153 0.02759385 -3.5901623 0.08890157 -2.4202254 R39965_91 0.05499448 -2.9005224 0.03710804 -3.2939216 0.09145096 -2.3919524 R40942_91 0.04980684 -2.999603 0.02878037 -3.5480616 0.09203379 -2.3855995 R52965_91 0.05639273 -2.875415 0.03507231 -3.3503434 0.11327186 -2.1779645 -2.927926 89 R53460_91 0.05176038 -2.9611302 0.03445702 -3.3680425 0.09705009 -2.3325281 R53878_91 0.05049325 -2.9859156 0.03328363 -3.4026897 0.09484263 -2.3555363 Specimen Premolar ln Premolar Canine ln Canine Molar Arcade ln Molar Jaw Length ln Jaw #_Pit # Arcade Arcade Size Size Arcade 2301-L- 0.21147805 -1.5536341 0.0509972 -2.9759846 0.15043739 -1.8942083 0.72895639 -0.3161414 0.2184055 -1.5214018 0.05292414 -2.9388958 0.17092373 -1.7665379 0.7248017 -0.3218572 0.20664039 -1.5767752 0.04857905 -3.0245629 0.17459081 -1.7453103 0.73323609 -0.3102875 0.21147696 -1.5536392 0.06781384 -2.690989 0.16573359 -1.7973737 0.75257085 -0.2842601 0.20626312 -1.5786027 0.05727476 -2.8598952 0.17848695 -1.7232398 0.72996994 -0.3147519 0.19599381 -1.6296722 0.05253112 -2.9463494 0.17851841 -1.7230635 0.72736149 -0.3183317 Length 101_13 2301-L106_61-67 2301-L109_61-67 2301-L-10_6167 2301-L120_61-67 2301-L- 90 123_61-67 2301-L-12_61- 0.20820559 -1.5692293 0.05925681 -2.8258746 0.1749427 -1.7432968 0.73151665 -0.3126353 0.19332702 -1.6433721 0.0678239 -1.7789545 0.73634782 -0.3060527 0.19880706 -1.6154205 0.06678581 -2.7062647 0.1891287 -1.6653275 0.7246281 -0.3220967 0.20023782 -1.6082495 0.06169107 -2.7856162 0.16980989 -1.7730757 0.73529666 -0.3074812 0.21945473 -1.5166093 0.05920026 -2.8268294 0.17304416 -1.7542085 0.73215306 -0.3117657 0.19843568 -1.6172902 0.07133174 -2.6404139 0.17484262 -1.743869 0.74156217 -0.2989963 0.20332146 -1.592967 0.05317135 -2.9342355 0.17552077 -1.7399979 0.72392206 -0.3230715 0.20452745 -1.5870531 0.04196258 -3.170977 -1.7297852 0.7176322 -0.3317981 67 2301-L- -2.6908406 0.16881454 140_61-67 2301-L143_13 2301-L148_61-67 2301-L154_61-67 2301-L155_61-67 2301-L156_61-67 2301-L- 91 0.1773225 164_61-67 2301-L- 0.20351237 -1.5920285 0.05187383 -2.9589409 0.17243008 -1.7577634 0.72167427 -0.3261814 0.19296961 -1.6452225 0.04797493 -3.0370768 0.17847022 -1.7233335 0.71582895 -0.334314 0.20361204 -1.5915388 0.06401242 -2.7486782 0.17439256 -1.7464465 0.73011953 -0.314547 0.20418905 -1.588709 0.06158756 -2.7872954 0.17324922 -1.7530241 0.73102204 -0.3133117 0.21104475 -1.5556851 0.06295565 -2.7653248 0.17749171 -1.7288314 0.72122751 -0.3268006 0.20962926 -1.5624147 0.06806136 -2.6873457 0.1770044 -1.7315807 0.727555 -0.3180657 0.19903535 -1.6142728 0.07068065 -2.6495835 0.17903209 -1.7201902 0.73024273 -0.3143783 0.20033951 -1.6077418 0.0631734 -1.7374797 0.74400843 -0.2957029 167_61-67 2301-L173_13 2301-L185_61-67 2301-L186_61-67 2301-L193_61-67 2301-L203_61-67 2301-L210_61-67 2301-L- -2.7618719 0.17596332 92 211_61-67 2301-L- 0.19838828 -1.6175292 0.06318998 -2.7616095 0.17069436 -1.7678807 0.73478982 -0.3081708 0.20544263 -1.5825884 0.06577903 -2.7214542 0.1639787 -1.8080188 0.74584353 -0.2932395 0.20323088 -1.5934126 0.07175108 -2.6345524 0.17222827 -1.7589345 0.75062609 -0.2868476 0.20475962 -1.5859186 0.06680002 -2.7060519 0.17534753 -1.7409854 0.73681813 -0.3054142 0.20172002 -1.6008746 0.06204802 -2.7798467 0.17570321 -1.738959 0.73380765 -0.3095083 0.20111083 -1.6038991 0.05712954 -2.8624339 0.17146309 -1.7633873 0.72486002 -0.3217767 0.20729747 -1.5736005 0.04167652 -3.1778173 0.17888141 -1.7210322 0.71677408 -0.3329946 0.20078253 -1.6055329 0.06277123 -2.7682585 0.17054337 -1.7687657 0.72356417 -0.323566 218_61-67 2301-L242_61-67 2301-L244_61-67 2301-L245_61-67 2301-L246_61-67 2301-L-28_6167 2301-L419_13 2301-L- 93 425_61-67 2301-L- 0.20851832 -1.5677284 0.06084025 -2.7995037 0.16560165 -1.7981701 0.72767811 -0.3178965 0.20174574 -1.6007471 0.06620094 -2.7150606 0.17029854 -1.7702023 0.72655968 -0.3194347 0.21625685 -1.5312884 0.06762485 -2.6937797 0.16997425 -1.7721083 0.7345787 -0.3084581 0.20627659 -1.5785374 0.05840605 -2.8403358 0.171317 -1.7642396 0.7321396 -0.3117841 0.18747362 -1.6741171 0.06037899 -2.8071141 0.20617113 -1.5790487 0.71770578 -0.3316956 0.20687099 -1.5756599 0.06540838 -2.7271049 0.17016342 -1.770996 0.73467727 -0.308324 0.21052777 -1.5581377 0.06788227 -2.6899803 0.18082192 -1.7102426 0.72046529 -0.327858 0.21434073 -1.5401883 0.06331548 -2.7596254 0.16337064 -1.8117338 0.72897555 -0.3161151 428_61-67 2301-L-42_6167 2301-L430_61-67 2301-L433_61-67 2301-L447_13 2301-L-44_6167 2301-L451_13 2301-L- 94 455_61-67 2301-L- 0.20153867 -1.601774 0.04468887 -3.1080308 0.16509049 -1.8012615 0.72983856 -0.3149319 0.19962351 -1.6113221 0.05488207 -2.9025686 0.18247881 -1.7011212 0.71309059 -0.3381468 0.20266513 -1.5962003 0.07050846 -2.6520225 0.17834957 -1.7240098 0.73253224 -0.3112479 0.19953133 -1.611784 0.05401937 -2.9184125 0.17190572 -1.7608091 0.71842439 -0.3306948 0.19727397 -1.6231618 0.07449916 -2.5969674 0.18550876 -1.6846532 0.7402075 -0.3008247 0.20404404 -1.5894194 0.06536077 -2.727833 0.17745915 -1.7290148 0.72776065 -0.3177831 0.2032089 -1.5935208 0.06554987 -2.7249441 0.17481918 -1.7440031 0.7267181 -0.3192166 0.20213597 -1.5988147 0.06685487 -2.7052312 0.18916083 -1.6651577 0.72916468 -0.3158557 466_13 2301-L468_13 2301-L469_61-67 2301-L474_13 2301-L475_13 2301-L482_61-67 2301-L-48_6167 2301-L- 95 490_13 2301-L- 0.21056067 -1.5579815 0.06028674 -2.8086431 0.20104602 -1.6042215 0.72145128 -0.3264904 0.19556391 -1.631868 0.06752369 -2.6952768 0.17771184 -1.7275919 0.73948903 -0.3017958 0.19726847 -1.6231897 0.07142295 -2.6391361 0.18108215 -1.7088045 0.73554586 -0.3071424 0.20117138 -1.6035981 0.05679137 -2.8683709 0.18070362 -1.710897 0.71776333 -0.3316154 0.20644389 -1.5777266 0.05984077 -2.816068 -1.7667715 0.73134374 -0.3128717 0.20085112 -1.6051914 0.06909549 -2.6722659 0.17468532 -1.7447691 0.73504373 -0.3078253 0.20025559 -1.6081608 0.06621104 -2.714908 0.17279004 -1.7556781 0.73438866 -0.3087169 0.20044259 -1.6072274 0.06417698 -2.7461106 0.16827352 -1.7821645 0.74458343 -0.2949304 493_61-67 2301-L-4_6167 2301-L500_13 2301-L509_61-67 2301-L-50_61- 0.1708838 67 2301-L511_61-67 2301-L514_61-67 2301-L- 96 516_61-67 2301-L- 0.204079 -1.5892481 0.04978965 -2.9999481 0.17972459 -1.7163296 0.72492368 -0.3216889 0.20348491 -1.5921634 0.06690427 -2.7044925 0.17087684 -1.7668122 0.72679215 -0.3191147 0.20399292 -1.58967 0.06574849 -2.7219186 0.17616899 -1.7363116 0.73025382 -0.3143631 2301-L-63_13 0.18897445 -1.6661435 0.06479659 -2.7365023 0.16855544 -1.7804905 0.74115745 -0.2995422 2301-L-64_61- 0.18643386 -1.6796787 0.06389064 -2.7505824 0.17209714 -1.7596962 0.73471062 -0.3082786 0.20060919 -1.6063966 0.05935482 -2.8242219 0.15760306 -1.8476757 0.74072687 -0.3001233 0.19934516 -1.6127175 0.05119179 -2.9721762 0.16891513 -1.7783589 0.72068701 -0.3275503 0.2123208 0.0698392 -1.7615779 0.73649179 -0.3058572 517_61-67 2301-L518_61-67 2301-L537_61-67 67 2301-L-65_6167 2301-L-66_6167 2301-L-68_61- -1.5496569 -2.6615598 0.1717736 67 97 2301-L-70_13 0.20042147 -1.6073328 0.05363516 -2.9255505 0.18853021 -1.668497 0.721824 -0.3259739 2301-L-72_13 0.20386692 -1.5902879 0.05823556 -2.8432591 0.16829637 -1.7820288 0.7281511 -0.3172467 2301-L-74_61- 0.20628771 -1.5784834 0.06367792 -2.7539175 0.16892321 -1.778311 0.74121931 -0.2994587 0.2045691 -1.5868495 0.06251904 -2.7722842 0.16269637 -1.8158696 0.74374191 -0.2960612 0.19901348 -1.6143827 0.06898303 -2.6738947 0.18670054 -1.6782493 0.72280144 -0.3246207 0.20460341 -1.5866818 0.06747187 -2.6960446 0.17241591 -1.7578456 0.73802421 -0.3037786 0.19481831 -1.6356879 0.06902054 -2.6733512 0.17616016 -1.7363617 0.73633762 -0.3060665 2301-L-92_13 0.20123097 -1.6033019 0.05699405 -2.8648083 0.17950753 -1.7175381 0.72170586 -0.3261376 2301-L-93_13 0.19806617 -1.6191541 0.05124603 -2.9711171 0.17625092 -1.7358466 0.71705419 -0.3326039 2301-L-95_61- 0.20692415 -1.575403 0.06194522 -2.7815048 0.17063352 -1.7682372 0.73625058 -0.3061848 67 2301-L-79_6167 2301-L-81_6167 2301-L-84_6167 2301-L-85_6167 67 98 2301-L-97_61- 0.20942856 -1.5633726 0.07113221 -2.643215 0.19555312 -1.6319232 28662_2051 0.17525898 -1.7414905 0.74784746 -0.2905563 0.06088352 -2.7987928 0.1859618 -1.682214 0.72513159 -0.3214021 0.21146304 -1.5537051 0.06758831 -2.6943203 0.17630609 -1.7355336 0.74669774 -0.2920948 28663_2051 0.20848665 -1.5678802 0.06767154 -2.6930895 0.17573858 -1.7387578 0.71341978 -0.3376853 28720_2051 0.19938446 -1.6125204 0.0546938 0.16656767 -1.7923536 0.7218873 -0.3258862 28736_2051 0.19962017 -1.6113389 0.05578532 -2.8862446 0.17741626 -1.7292565 0.72091793 -0.32723 28738b_2051 0.20482132 -1.5856173 0.05665279 -2.8708141 0.17610855 -1.7366547 0.707795 -0.3456008 28739_2051 0.20152786 -1.6018277 0.06377098 -2.752457 -1.7762868 0.73492429 -0.3079878 28756_2051 0.19323762 -1.6438346 0.05194235 -2.9576208 0.17302013 -1.7543474 0.71086319 -0.3412753 28758_2051 0.20213815 -1.5988039 0.06604326 -2.7174453 0.15997917 -1.8327117 0.73367428 -0.3096901 29041_2051 0.20890511 -1.5658752 0.04912576 -3.0133718 0.17273174 -1.7560155 0.72101298 -0.3270981 29049_2051 0.20486941 -1.5853825 0.05468638 -2.9061406 0.17662146 -1.7337465 0.71417498 -0.3366273 29056_2051 0.20047276 -1.6070769 0.06746566 -2.6961366 0.17224408 -1.7588427 0.73695181 -0.3052328 29068_2051 0.19886723 -1.6151178 0.05881991 -2.8332749 0.17947228 -1.7177345 0.72656851 -0.3194225 67 2301-L-99_6167 -2.906005 99 0.1692655 29075_2051 0.19919197 -1.6134862 0.04941972 -3.0074057 0.16684758 -1.7906746 0.7262928 -0.319802 29082_2051 0.20632523 -1.5783015 0.07000362 -2.6592083 0.1780108 -1.725911 0.72759649 -0.3180087 76919_2051 0.20552605 -1.5821825 0.05935245 -2.8242619 0.17162103 -1.7624665 0.72803111 -0.3174115 associated with 0.17967397 -1.7166113 0.06183675 -2.7832574 0.18096602 -1.709446 0.73172054 -0.3123566 JR3_2051 0.19546266 -1.6323859 0.05977399 -2.8171847 0.17041859 -1.7694976 0.72733584 -0.318367 LACMHC 0.2148417 0.05898555 -2.8304628 0.16708942 -1.7892262 0.71198237 -0.3397021 0.19947556 -1.6120636 0.0508565 -2.9787474 0.18095878 -1.709486 0.71382199 -0.3371217 0.19280174 -1.6460929 0.0583265 -2.8416988 0.17988862 -1.7154174 0.71974745 -0.3288549 0.19927204 -1.6130844 0.04986115 -2.9985131 0.18271662 -1.6998188 0.71290457 -0.3384077 0.20815292 -1.5694823 0.06253371 -2.7720495 0.16996133 -1.7721844 0.73540585 -0.3073328 2301-R214_61-67 -1.5378538 54899_13 LACMHC 54901_13 LACMHC 54903_13 LACMHC 54909_13 LACMHC 100 54912_13 LACMHC 0.20922465 -1.5643467 0.06330627 -2.7597709 0.1710222 -1.7659619 0.73447249 -0.3086027 0.19972358 -1.610821 0.0523514 -1.744529 0.7335102 -0.3099138 0.21123148 -1.5548007 0.06482956 -2.7359936 0.17139702 -1.7637727 0.72449437 -0.3222813 0.19161691 -1.6522572 0.04305516 -3.1452732 0.16955227 -1.774594 0.71881673 -0.3301488 0.20002828 -1.6092965 0.05291298 -2.9391065 0.17225493 -1.7587798 0.73726368 -0.3048097 0.20407547 -1.5892654 0.04617046 -3.075415 0.18966657 -1.6624876 0.71200306 -0.3396731 0.20831853 -1.568687 0.0598957 -2.8151506 0.17109331 -1.7655462 0.7351558 -0.3076728 0.20531417 -1.583214 0.0444088 -3.1143175 0.18040698 -1.71254 0.71456954 -0.336075 54913_13 LACMHC -2.9497766 0.17472727 54917_13 LACMHC 54921_13 LACMHC 54922_13 LACMHC 54924_13 LACMHC 54940_13 LACMHC 54943_13 LACMHC 101 54958_13 LACMHC 0.19683209 -1.6254042 0.05323931 -2.9329582 0.18270069 -1.699906 0.71878798 -0.3301889 0.19214434 -1.6495084 0.0554722 -1.7432346 0.71422695 -0.3365545 0.19909178 -1.6139893 0.05221299 -2.952424 0.19795201 -1.6197306 0.70529269 -0.3491424 0.21271002 -1.5478254 0.05385043 -2.9215449 0.18661604 -1.6787021 0.71604081 -0.3340181 0.19390519 -1.640386 0.05975613 -2.8174835 0.19798115 -1.6195834 0.70918989 -0.343632 0.19671559 -1.6259963 0.06302733 -2.7641869 0.17541412 -1.7406057 0.72765215 -0.3179322 0.21208906 -1.550749 0.06386544 -2.7509768 0.17003302 -1.7717626 0.73579448 -0.3068044 0.21260273 -1.54833 0.06303702 -2.7640331 0.17894813 -1.7206593 0.72457737 -0.3221667 54959_13 LACMHC -2.8918733 0.17495357 54962_13 LACMHC 54975_13 LACMHC 54976_13 LACMHC 54977_13 LACMHC 54983_13 LACMHC 55509_61-67 LACMHC 102 55513_61-67 LACMHC 0.19378265 -1.6410181 0.05890099 -2.8318973 0.17711269 -1.7309691 0.72076834 -0.3274375 0.20708163 -1.5746422 0.05500993 -2.9002417 0.17255106 -1.7570621 0.71874708 -0.3302458 0.20876918 -1.566526 0.06065526 -2.802549 0.17220491 -1.7590702 0.73018245 -0.3144608 0.20928789 -1.5640445 0.06166341 -2.7860645 0.17512005 -1.7422835 0.72157404 -0.3263203 0.19497769 -1.6348702 0.05371549 -2.9240538 0.16785979 -1.7846262 0.73307729 -0.3105041 0.20948386 -1.5631086 0.06248501 -2.7728285 0.17051054 -1.7689582 0.72485232 -0.3217873 0.19531465 -1.6331434 0.05761754 -2.8539282 0.16710078 -1.7891582 0.73723202 -0.3048526 0.207621 0.06758715 -2.6943374 0.1764289 -1.7348373 0.74081913 -0.2999988 55516_61-67 LACMHC 55518_61-67 LACMHC 55520_61-67 LACMHC 55521_61-67 LACMHC 55660_61-67 LACMHC 55665_61-67 LACMHC 55666_61-67 LACMHC -1.572041 103 55667_61-67 LACMHC 0.20548179 -1.5823979 0.06838029 -2.6826706 0.1782288 -1.7246872 0.739425 -0.3018824 0.21253653 -1.5486414 0.06871415 -2.6778001 0.17109967 -1.765509 0.72952216 -0.3153655 0.19799741 -1.6195014 0.06363106 -2.7546535 0.16639169 -1.7934107 0.74058668 -0.3003126 0.20699118 -1.5750791 0.06836889 -2.6828374 0.17788286 -1.72663 0.72499525 -0.3215902 0.20058872 -1.6064987 0.05647424 -2.8739707 0.17631555 -1.73548 0.72980263 -0.3149812 0.20766098 -1.5718484 0.05879362 -2.833722 0.18031867 -1.7130296 0.73077744 -0.3136463 0.19991214 -1.6098773 0.05047178 -2.986341 0.17095352 -1.7663636 0.72637305 -0.3196916 0.22547069 -1.4895651 0.06060249 -2.8034193 0.18621995 -1.6808268 0.72401439 -0.322944 55675_61-67 LACMHC 55681_61-67 LACMHC 55683_61-67 LACMHC 55685_61-67 LACMHC 55691_61-67 LACMHC 55692_61-67 LACMHC 55693_61-67 LACMHC 104 55694_61-67 LACMHC 0.22505448 -1.4914128 0.06950002 -2.6664283 0.17227958 -1.7586366 0.73300716 -0.3105998 0.20223353 -1.5983321 0.06280458 -2.7677273 0.16634394 -1.7936977 0.72961913 -0.3152326 0.1967038 -1.6260563 0.06483382 -2.7359278 0.16952714 -1.7747422 0.73201059 -0.3119603 0.19904709 -1.6142139 0.06734533 -2.6979217 0.18603254 -1.6818337 0.73635553 -0.3060422 0.20917563 -1.564581 0.05429852 -2.9132583 0.1768824 -1.7322702 0.72617529 -0.3199639 0.19763125 -1.6213524 0.06291341 -2.765996 0.17939568 -1.7181614 0.73191105 -0.3120963 0.20455663 -1.5869104 0.06455686 -2.7402088 0.16924141 -1.7764291 0.73009321 -0.3145831 0.21569338 -1.5338974 0.06370483 -2.7534948 0.16725883 -1.7882128 0.71340811 -0.3377016 55695_61-67 LACMHC 675_61-67 LACMHC 676_61-67 LACMHC 680_61-67 LACMHC 681_61-67 LACMHC 682_61-67 LACMHC 683_61-67 R17460_91 105 R17488_91 0.210836 R17928_91 -1.5566747 0.04679462 -3.0619871 0.17127072 -1.7645098 0.7197582 -0.32884 0.20473169 -1.586055 0.05023165 -2.9911099 0.17919538 -1.7192786 0.7301556 -0.3144976 R18664_91 0.20412894 -1.5890034 0.06483327 -2.7359365 0.1769294 -1.7320045 0.72387169 -0.3231411 R27246_91 0.19999699 -1.609453 0.05255804 -2.9458372 0.18411072 -1.692218 0.70989863 -0.3426331 R28351_91 0.19444723 -1.6375945 0.05747584 -2.8563906 0.1831758 -1.697309 0.72398594 -0.3229833 R28379_91 0.20387637 -1.5902415 0.07146675 -2.6385229 0.17615658 -1.736382 0.73764497 -0.3042926 R28913_91 0.1940872 -1.6394477 0.04844193 -3.0273895 0.18075997 -1.7105853 0.71822852 -0.3309675 R30721_91 0.21147063 -1.5536692 0.06384563 -2.7512871 0.17242478 -1.7577942 0.71736001 -0.3321775 R30746_91 0.20549193 -1.5823485 0.05818557 -2.8441178 0.18393829 -1.693155 0.72604892 -0.3201379 R31305_91 0.22907368 -1.4737116 0.05663463 -2.8711347 0.17154516 -1.7629087 0.71787995 -0.3314529 R34526_91 0.21279649 -1.547419 0.05988635 -2.8153067 0.16846027 -1.7810553 0.72195756 -0.3257889 R34706_91 0.20638131 -1.5780298 0.06111595 -2.7949824 0.17153493 -1.7629684 0.73043164 -0.3141196 R38491_91 0.20852493 -1.5676967 0.06338232 -2.7585703 0.17035011 -1.7698995 0.73646536 -0.3058931 R39009_91 0.21823643 -1.5221763 0.07256091 -2.6233289 0.20115467 -1.6036812 0.73404831 -0.3091804 R39376_91 0.19556873 -1.6318434 0.05371939 -2.9239814 0.17249019 -1.7574149 0.7229819 -0.3243711 R39566_91 0.21128747 -1.5545357 0.05219715 -2.9527273 0.1658532 -1.7966522 0.72918804 -0.3158236 106 R39965_91 0.21540729 -1.5352247 0.05484701 -2.9032077 0.17933719 -1.7184875 0.72518681 -0.321326 R40942_91 0.20057808 -1.6065517 0.06488128 -2.7351961 0.16767169 -1.7857474 0.72501104 -0.3215684 R52965_91 0.20459754 -1.5867104 0.05874623 -2.8345283 0.20129385 -1.6029895 0.71995526 -0.3285662 R53460_91 0.20510918 -1.5842129 0.06597542 -2.718473 0.17981649 -1.7158185 0.72295 -0.3244152 R53878_91 0.21321809 -1.5454397 0.0592091 -2.8266801 0.17404322 -1.7484516 0.72258186 -0.3249246 Specimen Corpus Depth ln Corpus Corpus Depth 3 ln Corpus Depth Corpus Depth 1 (3- ln Corpus Depth 1 (3- #_Pit # 2 (4-15) Depth 2 (6-14) 3 16) 16) 2301-L- 0.124230096 - 0.129657038 -2.042862483 0.09491002 -2.354826 0.127858721 -2.056829364 0.10148631 -2.2878314 101_13 2301-L- 2.085619818 0.120848187 106_61-67 2301-L- 2.113220172 0.124471415 -2.08367919 0.134102791 -2.009148673 0.09927902 -2.3098211 0.118130051 - 0.117439741 -2.141829917 0.09809631 -2.3218056 109_61-67 2301-L10_61-67 2.135969134 107 2301-L- 0.121628968 120_61-67 2301-L- - 0.149638602 -1.899532215 0.09538533 -2.3498305 2.106780116 0.120629113 -2.11503462 0.135288918 -2.000342654 0.09284602 -2.3768128 0.129954026 - 0.134767639 -2.004203173 0.09663319 -2.336833 0.153700175 -1.872751491 0.10487748 -2.2549625 0.13158186 -2.028126113 0.11104662 -2.1978052 123_61-67 2301-L12_61-67 2301-L- 2.040574541 0.130554372 140_61-67 2301-L- 2.035965493 0.123595679 143_13 2301-L- - 2.090739691 0.114774649 -2.16478465 0.120815957 -2.11348691 0.09132224 -2.3933609 0.120415315 - 0.125576501 -2.07484014 0.09683681 -2.3347281 0.143268083 -1.9430377 0.10505368 -2.2532838 148_61-67 2301-L154_61-67 2301-L- 2.116808553 0.128829605 -2.04926464 155_61-67 108 2301-L- 0.12532387 156_61-67 2301-L- 0.116165548 0.119102503 0.113193125 -2.2459341 - 0.129082927 -2.047300235 0.10715133 -2.2335131 - 0.131256265 -2.030603643 0.09376201 -2.3669955 - 0.128980998 -2.048090189 0.09539462 -2.3497331 0.134499593 -2.006194106 0.10356061 -2.2675982 2.178659848 0.116087487 185_61-67 2301-L- 0.10582864 2.127770787 173_13 2301-L- -2.020162434 2.152738969 167_61-67 2301-L- 0.132633919 2.076853935 164_61-67 2301-L- - 2.153411174 0.120940299 -2.11245825 0.141717262 -1.953921319 0.09608518 -2.3425202 0.103550955 - 0.119336707 -2.125806307 0.08751181 -2.4359815 0.123385935 -2.092438153 0.09891063 -2.3135386 186_61-67 2301-L193_61-67 2301-L203_61-67 2.267691467 0.12213313 2.102643603 109 2301-L- 0.125518319 210_61-67 2301-L- 0.124047604 0.12191989 0.129371485 0.124251405 0.121286353 28_61-67 0.138541392 -1.976586141 0.10314705 -2.2715996 - 0.139918652 -1.96669408 0.09882603 -2.3143942 - 0.135820952 -1.996417788 0.09512072 -2.3526085 - 0.144177764 -1.936708272 0.10101829 -2.2924537 - 0.122370018 -2.100705891 0.10083663 -2.2942536 0.13032668 -2.037711059 0.10144748 -2.2882141 0.131318335 -2.030130865 0.08642807 -2.4484427 2.109600973 0.119219303 246_61-67 2301-L- - 2.085448309 245_61-67 2301-L- -2.3094242 2.045067287 244_61-67 2301-L- 0.09931842 2.104391089 242_61-67 2301-L- -2.007364594 2.087089883 218_61-67 2301-L- 0.134342255 2.075303566 211_61-67 2301-L- - 2.126790598 0.119391254 2.125349329 110 2301-L- 0.125576423 419_13 2301-L- 0.120425297 0.12118371 0.122774386 0.117532909 0.127835671 44_61-67 0.135664164 -1.997572828 0.09961057 -2.306487 - 0.129159527 -2.046706997 0.08717199 -2.4398722 - 0.132516271 -2.021049843 0.09453697 -2.3587643 - 0.124614652 -2.082529089 0.09947833 -2.3078154 - 0.135477963 -1.998946289 0.09761329 -2.3267417 0.124487282 -2.083551718 0.10493586 -2.254406 0.131938356 -2.025420464 0.09563769 -2.3471883 2.057009658 0.106132847 447_13 2301-L- - 2.141036907 433_61-67 2301-L- -2.3411137 2.097406872 430_61-67 2301-L- 0.09622041 2.110447619 42_61-67 2301-L- -2.080328421 2.116725664 428_61-67 2301-L- 0.124889189 2.074840757 425_61-67 2301-L- - 2.243063699 0.123339191 2.092817072 111 2301-L- 0.138292533 451_13 2301-L- 0.125311853 0.125914957 0.134310836 0.117822791 0.108719778 0.127729457 -2.057840867 0.10102158 -2.2924211 - 0.131771467 -2.026686166 0.09516828 -2.3521086 - 0.141686293 -1.95413987 0.1040334 -2.2630433 - 0.132347749 -2.02232236 0.09204525 -2.3854749 - 0.13110327 -2.031769943 0.09473011 -2.3567234 0.13120701 -2.030978977 0.1095434 -2.2114344 0.132652969 -2.020018815 0.10674116 -2.2373485 2.218981552 0.132795822 475_13 2301-L- - 2.138573558 474_13 2301-L- -2.2289073 2.007598492 469_61-67 2301-L- 0.10764599 2.072148545 468_13 2301-L- -1.908837289 2.076949822 466_13 2301-L- 0.148252661 1.978384035 455_61-67 2301-L- - 2.018942501 0.12955902 -2.04361875 482_61-67 112 2301-L- 0.117103995 48_61-67 2301-L- 0.130240147 0.109838107 0.131111762 -2.3463234 - 0.143577879 -1.940877682 0.11062585 -2.2016015 - 0.134435766 -2.006668774 0.10705136 -2.2344466 - 0.13078092 -2.034231723 0.10273499 -2.2756025 0.137717084 -1.982553816 0.10546569 -2.2493696 2.031705176 0.124814275 500_13 2301-L- 0.09572044 2.208747751 4_61-67 2301-L- -2.00449923 2.038375252 493_61-67 2301-L- 0.134727746 2.144692889 490_13 2301-L- - 2.080928443 0.120138925 -2.1191065 0.132939443 -2.017861572 0.09922542 -2.3103611 0.115309095 - 0.126845142 -2.064788289 0.10155019 -2.2872021 0.128118231 -2.054801759 0.1025633 -2.2772751 509_61-67 2301-L50_61-67 2301-L511_61-67 2.160138972 0.111081747 2.197488887 113 2301-L- 0.129467133 514_61-67 2301-L- - 0.135991597 -1.995162182 0.10282046 -2.2747709 2.044328227 0.122834769 -2.09691517 0.139555605 -1.969292154 0.09587996 -2.3446583 0.114432621 -2.16776909 0.1234289 -2.09209 0.09895902 -2.3130494 0.12644539 - 0.132080843 -2.024341095 0.10143809 -2.2883066 0.138206545 -1.979006006 0.11310184 -2.1794666 0.140875757 -1.959876931 0.10046954 -2.2979007 0.134776435 -2.004137912 0.10881351 -2.2181198 0.14425366 -1.936182001 0.10176375 -2.2851013 516_61-67 2301-L517_61-67 2301-L518_61-67 2301-L- 2.067944766 0.125272899 537_61-67 2301-L- 2.077260728 0.13177526 63_13 2301-L- 65_61-67 2.026657385 0.132766625 64_61-67 2301-L- - 2.019162395 0.136344056 1.992573768 114 2301-L- 0.127581277 -2.05900165 0.135623639 -1.997871591 0.11222765 -2.1872259 0.11970609 - 0.127759123 -2.057608641 0.0940805 -2.3636045 0.126712235 -2.065836629 0.09806043 -2.3221713 0.133879518 -2.010815002 0.0998904 -2.3036817 0.126206671 -2.069834469 0.10089301 -2.2936946 0.13067009 -2.035079526 0.09881517 -2.3145041 0.133520323 -2.013501581 0.09814672 -2.3212918 0.140836516 -1.960155523 0.10182543 -2.2844954 66_61-67 2301-L68_61-67 2301-L- 2.122715787 0.122300143 70_13 2301-L- 2.101277065 0.126339333 72_13 2301-L- 0.125592248 0.12597472 84_61-67 2.071674028 0.122075724 81_61-67 2301-L- 2.074714746 79_61-67 2301-L- 2.068783876 74_61-67 2301-L- - 2.103113737 0.130474614 2.036576601 115 2301-L- 0.136692994 -1.99001779 0.129691648 -2.042595584 0.11468925 -2.1655289 0.134026317 - 0.138800189 -1.974719868 0.10490448 -2.254705 0.130879915 -2.033475052 0.10528951 -2.2510415 0.126119345 -2.070526634 0.10244988 -2.2783816 0.137719541 -1.98253597 0.10229562 -2.2798885 0.122594275 -2.098874952 0.10668204 -2.2379024 0.131312515 -2.030175188 0.10580675 -2.246141 0.131221211 -2.03087075 0.0968582 -2.3345073 85_61-67 2301-L92_13 2301-L- 2.009719104 0.125396112 93_13 2301-L- 2.076277659 0.121526768 95_61-67 2301-L- 0.125430126 2.076006438 0.123577408 99_61-67 28662_2051 2.107620728 97_61-67 2301-L- - 2.090887532 0.12198198 2.103881947 28663_2051 0.117269898 2.143277184 116 28720_2051 0.110060628 - 0.124250702 -2.085453964 0.09517837 -2.3520026 0.125300052 -2.077043999 0.09779546 -2.3248772 0.136653937 -1.990303558 0.09672092 -2.3359256 0.137700103 -1.982677124 0.10362998 -2.2669287 0.134307962 -2.007619889 0.08946221 -2.413939 0.143135629 -1.943962647 0.10319871 -2.271099 2.206723906 28736_2051 0.110019045 2.207101795 28738b_2051 0.117602996 2.140440771 28739_2051 0.128473267 2.052034437 28756_2051 0.113824124 2.173100793 28758_2051 0.126171026 2.070116941 29041_2051 0.128065154 -2.05521613 0.126955168 -2.063921265 0.10167894 -2.2859351 29049_2051 0.115300775 - 0.119989445 -2.120351501 0.08890443 -2.4201933 0.128696322 -2.050299741 0.09575696 -2.345942 2.160211134 29056_2051 0.114908066 - 117 2.163622892 29068_2051 0.107431682 - 0.124528726 -2.083218855 0.09954072 -2.3071885 0.131176738 -2.031209719 0.08684553 -2.4436242 0.132097234 -2.024217009 0.10459279 -2.2576807 0.1257029 -2.073834095 0.09722582 -2.3307189 0.137174882 -1.986498657 0.09668719 -2.3362744 0.132906596 -2.018108681 0.10546262 -2.2493987 0.122679126 -2.098183065 0.09913508 -2.3112719 2.230900154 29075_2051 0.118458771 2.133190306 29082_2051 0.11718512 2.144000374 76919_2051 0.107432462 2.230892885 associated 0.130295901 with 2301-R- 2.037947253 214_61-67 JR3_2051 0.1291191 2.047020042 LACMHC 54899_13 0.125683398 2.073989251 118 LACMHC 0.125688677 54901_13 LACMHC 0.113916746 -2.055329838 0.10135463 -2.2891297 - 0.130815629 -2.03396636 0.09580878 -2.3454009 0.12661357 -2.066615588 0.10456075 -2.257987 2.172287396 0.118248708 54909_13 LACMHC 0.128050593 2.073947249 54903_13 LACMHC - 2.134965177 0.138123436 -1.97960753 0.13867282 -1.975637934 0.10655303 -2.2391125 0.125630257 - 0.129083063 -2.047299183 0.09793442 -2.3234573 0.126993611 -2.063618498 0.1130348 -2.1800596 0.138969026 -1.973504207 0.10096969 -2.2929349 0.148946093 -1.904170832 0.10278592 -2.2751069 54912_13 LACMHC 54913_13 LACMHC 2.074412152 0.129777546 54917_13 LACMHC 2.041933477 0.129282831 54921_13 LACMHC 54922_13 - 2.045752783 0.140025405 1.965931407 119 LACMHC 0.130199203 54924_13 LACMHC 0.123747239 0.122103976 0.10446092 -2.2589422 - 0.127634625 -2.05858359 0.10703524 -2.2345972 - 0.14055753 -1.962138409 0.10443693 -2.2591719 0.122407536 -2.10039934 0.08869388 -2.4225644 2.102882332 0.126104117 54958_13 LACMHC -2.047448176 2.089514186 54943_13 LACMHC 0.129063832 2.038689668 54940_13 LACMHC - 2.070647384 0.124330451 -2.08481233 0.134723403 -2.004531465 0.10585411 -2.2456935 0.128865344 - 0.131904923 -2.025673895 0.10335938 -2.2695432 0.124020467 -2.087308674 0.10108501 -2.2917934 0.127372576 -2.06063882 0.0961084 -2.3422786 54959_13 LACMHC 54962_13 LACMHC 2.048987263 0.118726032 54975_13 LACMHC 54976_13 2.130936688 0.113092074 2.179552981 120 LACMHC 0.120442777 54977_13 LACMHC 0.122118224 0.129244978 0.126552427 0.122523847 0.114597029 55521_61-67 0.13388476 -2.010775846 0.09568942 -2.3466475 - 0.131598638 -2.02799861 0.09582166 -2.3452665 - 0.136691642 -1.99002768 0.09575999 -2.3459104 - 0.142758144 -1.94660338 0.09990472 -2.3035383 - 0.132002076 -2.024937631 0.09337513 -2.3711302 0.132365324 -2.022189577 0.09286711 -2.3765857 0.130451494 -2.036753817 0.09812583 -2.3215047 2.166333401 0.116079594 55520_61-67 LACMHC - 2.099449597 55518_61-67 LACMHC -2.3506844 2.067098615 55516_61-67 LACMHC 0.09530391 2.046045619 55513_61-67 LACMHC -1.971820778 2.102765658 55509_61-67 LACMHC 0.139203167 2.116580519 54983_13 LACMHC - 2.153479164 0.1240857 2.086782821 121 LACMHC 0.125788576 55660_61-67 LACMHC 0.132961331 -2.017696937 0.09811121 -2.3216537 0.126282382 -2.069234754 0.09507467 -2.3530927 2.073152746 0.113581572 55665_61-67 LACMHC - 2.175234008 0.131425435 -2.02931562 0.145732053 -1.925985598 0.09449292 -2.3592304 0.120527662 - 0.135200439 -2.000996869 0.09625752 -2.3407282 0.131468708 -2.028986416 0.09740217 -2.3289068 0.130804438 -2.034051909 0.09654304 -2.3377664 55666_61-67 LACMHC 55667_61-67 LACMHC 2.115875991 0.116058556 55675_61-67 LACMHC 2.153660424 0.120629889 55681_61-67 LACMHC - 2.115028191 0.124658813 -2.08217477 0.130528171 -2.036166205 0.1054536 -2.2494842 0.116189749 - 0.130760161 -2.034390463 0.10124572 -2.2902049 55683_61-67 LACMHC 55685_61-67 2.152530658 122 LACMHC 0.121208344 55691_61-67 LACMHC 0.109886453 0.123147972 0.106050678 0.113865982 0.118214645 680_61-67 0.128599571 -2.051051803 0.09865966 -2.3160791 - 0.127815375 -2.057168438 0.10052895 -2.2973096 - 0.130638632 -2.035320306 0.10436401 -2.2598703 - 0.12296391 -2.095864379 0.09963072 -2.3062847 - 0.135087631 -2.001831594 0.09215406 -2.3842935 0.132756801 -2.019236386 0.09908537 -2.3117735 0.12319273 -2.094005238 0.11057523 -2.2020592 2.135253285 0.12263817 676_61-67 LACMHC - 2.172733119 675_61-67 LACMHC -2.3119005 2.243838203 55695_61-67 LACMHC 0.09907279 2.094368622 55694_61-67 LACMHC -1.994289672 2.208307692 55693_61-67 LACMHC 0.136110303 2.110244361 55692_61-67 LACMHC - 2.098516963 0.119851566 2.121501254 123 LACMHC 0.124644915 681_61-67 LACMHC 0.127989953 -2.055803509 0.10312766 -2.2717876 0.141492057 -1.955511696 0.11358258 -2.1752251 2.082286265 0.125866043 682_61-67 LACMHC - 2.072537086 0.12260591 -2.09878005 0.128946783 -2.048355495 0.09528224 -2.3509119 0.136981095 - 0.139662375 -1.968527379 0.10349302 -2.2682511 0.122278495 -2.101454087 0.10069993 -2.2956101 0.133089136 -2.01673618 0.1038137 -2.2651573 0.133775302 -2.011593736 0.09703907 -2.3326416 0.134724521 -2.004523169 0.0986168 -2.3165136 683_61-67 R17460_91 1.987912354 R17488_91 0.129471343 2.044295715 R17928_91 0.126053217 2.071051106 R18664_91 0.124765014 2.081323196 R27246_91 0.127736523 2.057785551 124 R28351_91 0.11421557 -2.16966765 0.134221293 -2.008265403 0.09493666 -2.3545453 R28379_91 0.141914838 - 0.135266288 -2.000509941 0.10269603 -2.2759818 0.126362812 -2.068598052 0.0989548 -2.3130921 0.128026662 -2.055516741 0.10059197 -2.2966829 0.134629607 -2.005227927 0.09742042 -2.3287195 0.126275018 -2.069293069 0.08775716 -2.4331818 1.952528134 R28913_91 0.121379007 2.108837336 R30721_91 0.113028793 2.180112687 R30746_91 0.116701542 2.148135523 R31305_91 0.11882849 2.130074083 R34526_91 0.1270559 -2.06312813 0.129052428 -2.047536539 0.09739572 -2.328973 R34706_91 0.133187063 - 0.133841149 -2.011101635 0.10668073 -2.2379147 0.113365039 -2.177142232 0.0945303 -2.3588349 2.016000652 R38491_91 0.11300911 2.180286842 125 R39009_91 0.11474714 - 0.124862076 -2.080545547 0.1118864 -2.1902712 0.137571941 -1.983608289 0.09852241 -2.3174713 0.122884331 -2.096511764 0.09737725 -2.3291626 0.123506464 -2.091461783 0.09857793 -2.3169079 2.165024356 R39376_91 0.130260492 2.038219051 R39566_91 0.122476767 2.099833922 R39965_91 0.107365651 2.231514973 R40942_91 0.125288292 -2.07713786 0.124182802 -2.086000587 0.11202247 -2.1890558 R52965_91 0.107677601 -2.22861369 0.124810164 -2.080961385 0.1098071 -2.2090301 R53460_91 0.120723174 - 0.129162193 -2.046686353 0.10347653 -2.2684105 0.132240746 -2.023131188 0.09972664 -2.3053225 2.114255176 R53878_91 0.11770032 2.139613545 126 Specimen Carn.-Coronoid ln Carn.- Carn.-Condyloid ln Carn.- Carn.-Angular ln Carn.-Angular #_Pit # (5-9) Coronoid (5- (5-11) Condyloid (5-12) (5-12) 9) 2301-L- (5-11) 0.322788311 -1.130758554 0.356486583 -1.031458676 0.343007725 -1.070002311 0.321984616 -1.133251511 0.354878904 -1.035978664 0.338206405 -1.084098904 0.32169394 -1.134154683 0.355655055 -1.033793966 0.332295563 -1.101730457 0.335125205 -1.093251071 0.354554411 -1.036893457 0.321806943 -1.133803468 0.313456223 -1.160095569 0.349595554 -1.050978353 0.350197104 -1.049259129 0.329488382 -1.110214185 0.358486385 -1.025864597 0.341127387 -1.075499303 0.319150856 -1.142091387 0.341485966 -1.074448695 0.341318538 -1.074939107 101_13 2301-L106_61-67 2301-L109_61-67 2301-L10_61-67 2301-L120_61-67 2301-L123_61-67 2301-L- 127 12_61-67 2301-L- 0.328415825 -1.113474716 0.361506309 -1.017475786 0.355276198 -1.034859769 0.332469094 -1.101208373 0.340587979 -1.077081804 0.346182807 -1.0607883 0.339353862 -1.080711876 0.36188025 -1.016441922 0.35012824 -1.049455793 0.320160734 -1.138932117 0.349746442 -1.050546837 0.333130921 -1.099219711 0.3235 -1.128556165 0.364226447 -1.009979497 0.353472176 -1.039950508 0.346839349 -1.058893577 0.359889451 -1.021958377 0.3393261 -1.080793687 0.327645549 -1.115822897 0.359973365 -1.021725235 0.349924671 -1.050037374 0.334351892 -1.09556127 0.361540396 -1.017381499 0.34932217 -1.051760659 140_61-67 2301-L143_13 2301-L148_61-67 2301-L154_61-67 2301-L155_61-67 2301-L156_61-67 2301-L164_61-67 2301-L- 128 167_61-67 2301-L- 0.344301041 -1.066238886 0.36859403 -0.998059429 0.355776311 -1.033453084 0.324914582 -1.124192956 0.35198243 -1.04417402 0.351173226 -1.046475657 0.319683177 -1.140424845 0.357587493 -1.028375211 0.349210424 -1.052080606 0.334285961 -1.095758482 0.352077842 -1.043902985 0.344270162 -1.066328574 0.330535233 -1.107042019 0.352751524 -1.041991368 0.343893664 -1.067422787 0.339225998 -1.081088733 0.360896624 -1.019163721 0.361052954 -1.018730645 0.322449248 -1.131809525 0.359615562 -1.022719702 0.345485924 -1.062803377 0.338364845 -1.083630544 0.347330402 -1.057478784 0.341751518 -1.073671361 173_13 2301-L185_61-67 2301-L186_61-67 2301-L193_61-67 2301-L203_61-67 2301-L210_61-67 2301-L211_61-67 2301-L- 129 218_61-67 2301-L- 0.320080292 -1.139183401 0.35888389 -1.024756369 0.337901154 -1.08500187 0.31989977 -1.139747552 0.355528261 -1.034150536 0.339427993 -1.080493451 0.3382008 -1.084115477 0.363234321 -1.012707139 0.350484162 -1.048439761 0.332355787 -1.101549235 0.352830708 -1.041766917 0.34775449 -1.056258536 0.32354932 -1.12840372 0.357240729 -1.029345413 0.36813336 -0.999310016 0.340191566 -1.078246392 0.353302044 -1.040431938 0.340337014 -1.077818935 0.343504441 -1.06855524 0.3579653 -1.027319225 0.352758376 -1.041971943 0.341643394 -1.073987794 0.36612842 -1.004771133 0.355049456 -1.035498186 242_61-67 2301-L244_61-67 2301-L245_61-67 2301-L246_61-67 2301-L28_61-67 2301-L419_13 2301-L425_61-67 2301-L- 130 428_61-67 2301-L- 0.34144262 -1.074575639 0.355140401 -1.035242072 0.35078398 -1.047584686 0.339211314 -1.08113202 0.361039461 -1.018768018 0.343598009 -1.068282883 0.325669094 -1.121873461 0.351868615 -1.044497426 0.338796207 -1.082356512 0.334113544 -1.096274393 0.349024281 -1.052613787 0.339202164 -1.081158994 0.338379513 -1.083587194 0.359911009 -1.021898475 0.346292525 -1.060471414 0.349531246 -1.05116232 0.349181757 -1.052162697 0.312292752 -1.163814224 0.334991637 -1.093649711 0.350303077 -1.048956565 0.353115897 -1.040958955 0.333708035 -1.097488815 0.363589762 -1.011729074 0.332365373 -1.101520395 42_61-67 2301-L430_61-67 2301-L433_61-67 2301-L447_13 2301-L44_61-67 2301-L451_13 2301-L455_61-67 2301-L- 131 466_13 2301-L- 0.333381121 -1.098468936 0.356090366 -1.032570744 0.354734496 -1.036385668 0.332664538 -1.100620691 0.365420035 -1.006707806 0.358417846 -1.026055805 0.340903453 -1.076155969 0.354437232 -1.037224009 0.352978294 -1.041348714 0.32297522 -1.130179678 0.355379465 -1.034569146 0.348098931 -1.055268556 0.325014007 -1.123886999 0.342007961 -1.072921264 0.340777729 -1.076524834 0.330355837 -1.107584911 0.351926149 -1.044333929 0.353882363 -1.038790729 0.317158072 -1.148354981 0.346575781 -1.059653779 0.344171456 -1.066615327 0.328356107 -1.113656568 0.346552743 -1.059720256 0.330289388 -1.107786077 468_13 2301-L469_61-67 2301-L474_13 2301-L475_13 2301-L482_61-67 2301-L48_61-67 2301-L490_13 2301-L- 132 493_61-67 2301-L- 0.327923016 -1.114976407 0.360452347 -1.020395518 0.34986132 -1.050218432 0.310746055 -1.168779243 0.354516467 -1.037000482 0.34613619 -1.060922969 0.337884594 -1.08505088 0.358001456 -1.027218226 0.351905706 -1.044392019 0.319044176 -1.142425703 0.361429919 -1.017687117 0.357028987 -1.029938304 0.333482609 -1.098164562 0.361147882 -1.018467758 0.349314971 -1.051781268 0.328977891 -1.11176473 0.354994779 -1.035652196 0.350760771 -1.047650852 0.331940366 -1.102799945 0.356129622 -1.032460508 0.338463226 -1.083339829 0.337000425 -1.087671086 0.359196386 -1.023886003 0.34154942 -1.074262895 4_61-67 2301-L500_13 2301-L509_61-67 2301-L50_61-67 2301-L511_61-67 2301-L514_61-67 2301-L516_61-67 2301-L- 133 517_61-67 2301-L- 0.337310015 -1.086752846 0.348235072 -1.054877534 0.348311298 -1.054658665 0.324375477 -1.125853553 0.341882595 -1.073287891 0.33460816 -1.094795104 0.337743139 -1.085469616 0.362591209 -1.014479226 0.351543321 -1.045422328 0.342093178 -1.07267213 0.369630043 -0.995252657 0.35727127 -1.029259927 0.313895516 -1.1586951 0.357700889 -1.028058148 0.348359702 -1.054519707 0.32519275 -1.123337196 0.357166603 -1.029552931 0.352054601 -1.043969 0.337629522 -1.085806075 0.355377658 -1.03457423 0.333593629 -1.097831707 0.346862495 -1.058826845 0.356535893 -1.031320362 0.345739232 -1.062070453 518_61-67 2301-L537_61-67 2301-L63_13 2301-L64_61-67 2301-L65_61-67 2301-L66_61-67 2301-L68_61-67 2301-L- 134 70_13 2301-L- 0.334427978 -1.095333734 0.357649608 -1.028201522 0.344770218 -1.064877118 0.339423332 -1.080507185 0.363940122 -1.010765925 0.351853298 -1.044540959 0.325701462 -1.121774077 0.361536201 -1.017393102 0.346939994 -1.058603442 0.325929971 -1.121072734 0.36253624 -1.014630836 0.354667461 -1.036574658 0.316363812 -1.150862422 0.351943197 -1.044285488 0.338353794 -1.083663204 0.330532697 -1.107049693 0.374479076 -0.98221935 0.359894281 -1.021944954 0.316432177 -1.15064635 0.353108999 -1.040978491 0.348092579 -1.055286803 0.342321599 -1.072004635 0.357438965 -1.028790657 0.346748591 -1.059155284 72_13 2301-L74_61-67 2301-L79_61-67 2301-L81_61-67 2301-L84_61-67 2301-L85_61-67 2301-L92_13 2301-L- 135 93_13 2301-L- 0.323538816 -1.128436185 0.357577089 -1.028404306 0.341565323 -1.074216335 0.290417929 -1.23643426 0.360191277 -1.021120063 0.346570737 -1.059668334 0.326514299 -1.119281535 0.344302807 -1.066233757 0.35278566 -1.041894601 28662_2051 0.3219532 -1.133349087 0.355236075 -1.034972712 0.335630348 -1.091744879 28663_2051 0.338465608 -1.083332794 0.347151135 -1.057995046 0.360611732 -1.019953433 28720_2051 0.360655896 -1.019830972 0.357530761 -1.028533876 0.35293094 -1.041482878 28736_2051 0.348539805 -1.054002836 0.357924541 -1.027433093 0.357687578 -1.028095359 28738b_2051 0.346057756 -1.061149592 0.347271967 -1.05764704 0.351926962 -1.04433162 28739_2051 0.326907124 -1.118079172 0.358342308 -1.026266581 0.351457176 -1.045667406 28756_2051 0.350395716 -1.048692146 0.361012233 -1.018843434 0.365016454 -1.007812847 28758_2051 0.341461934 -1.074519074 0.350419325 -1.048624769 0.34999401 -1.04983924 29041_2051 0.330763534 -1.106351557 0.365632291 -1.00612712 0.3636585 -1.011540037 95_61-67 2301-L97_61-67 2301-L99_61-67 136 29049_2051 0.336293764 -1.089770203 0.347560239 -1.056817279 0.353951765 -1.038594633 29056_2051 0.323688798 -1.127972723 0.341647149 -1.073976802 0.335866437 -1.091041706 29068_2051 0.327871617 -1.11513316 0.361669322 -1.017024959 0.3651362 -1.007484843 29075_2051 0.331719802 -1.103464635 0.364611228 -1.008923621 0.362919585 -1.013573998 29082_2051 0.34135085 -1.074844445 0.355297556 -1.034799655 0.350808397 -1.047515082 76919_2051 0.33298076 -1.09967057 0.357921965 -1.02744029 0.36363355 -1.011608648 associated 0.3479833 -1.05560079 0.385257797 -0.953842566 0.376389304 -0.977131289 JR3_2051 0.337561846 -1.086006539 0.363744941 -1.01130237 0.356191321 -1.032287273 LACMHC 0.315370324 -1.154007698 0.327220894 -1.11711982 0.341299198 -1.074995774 0.350599585 -1.048110491 0.359555098 -1.02288785 0.359663666 -1.022585945 0.355923831 -1.033038528 0.363784595 -1.011193359 0.357085036 -1.029781329 with 2301-R214_61-67 54899_13 LACMHC 54901_13 LACMHC 54903_13 137 LACMHC 0.333138182 -1.099197913 0.353069461 -1.041090467 0.347164801 -1.057955681 0.32541763 -1.122645907 0.35465245 -1.036616984 0.347254037 -1.057698673 0.31148742 -1.166396326 0.345362841 -1.063159702 0.341725514 -1.073747454 0.319017459 -1.142509446 0.353499977 -1.039871858 0.343872948 -1.067483027 0.33055146 -1.106992927 0.34422927 -1.06644736 0.345344591 -1.063212545 0.330375968 -1.107523975 0.355886742 -1.033142738 0.351710454 -1.044947017 0.328223108 -1.114061696 0.358664366 -1.025368241 0.331116209 -1.105285879 0.343722689 -1.067920084 0.36401182 -1.010568939 0.350824078 -1.047470384 54909_13 LACMHC 54912_13 LACMHC 54913_13 LACMHC 54917_13 LACMHC 54921_13 LACMHC 54922_13 LACMHC 54924_13 LACMHC 54940_13 138 LACMHC 0.318155689 -1.145214429 0.364522257 -1.009167668 0.341875868 -1.073307566 0.341340949 -1.074873449 0.363402995 -1.012242881 0.343982356 -1.067164913 0.343964677 -1.067216311 0.349972369 -1.049901073 0.346474816 -1.059945143 0.345029557 -1.064125193 0.36297905 -1.01341016 0.367169779 -1.001930926 0.334406597 -1.095397671 0.362285772 -1.015321952 0.352250988 -1.043411324 0.334895268 -1.09393743 0.348528279 -1.054035906 0.329951393 -1.108809929 0.341515929 -1.074360957 0.348792337 -1.053278556 0.348020353 -1.055494316 0.340590699 -1.077073819 0.37054317 -0.992785324 0.363016231 -1.013307733 54943_13 LACMHC 54958_13 LACMHC 54959_13 LACMHC 54962_13 LACMHC 54975_13 LACMHC 54976_13 LACMHC 54977_13 LACMHC 54983_13 139 LACMHC 0.322002334 -1.133196487 0.3515814 -1.045314016 0.340352524 -1.077773364 0.328536743 -1.113106597 0.348379309 -1.054463424 0.34138683 -1.074739047 0.322557941 -1.131472498 0.367446751 -1.001176867 0.368637486 -0.99794154 0.346931475 -1.058627997 0.354148039 -1.038040265 0.343348305 -1.069009881 0.330221957 -1.107990255 0.35782307 -1.027716632 0.34669232 -1.059317577 0.333943281 -1.096784118 0.345949664 -1.061461995 0.34125063 -1.075138085 0.323138819 -1.129673267 0.368005459 -0.999657506 0.362936584 -1.013527159 0.329633858 -1.109772763 0.353047025 -1.041154014 0.350728748 -1.047742152 55509_61-67 LACMHC 55513_61-67 LACMHC 55516_61-67 LACMHC 55518_61-67 LACMHC 55520_61-67 LACMHC 55521_61-67 LACMHC 55660_61-67 LACMHC 55665_61-67 140 LACMHC 0.331115474 -1.1052881 0.363148022 -1.012944754 0.34344683 -1.068722967 0.329463281 -1.110290369 0.350673152 -1.04790068 0.332666456 -1.100614924 0.332260253 -1.101836723 0.351824298 -1.044623382 0.331932932 -1.102822343 0.331314574 -1.10468698 0.3500637 -1.04964014 0.33793947 -1.084888482 0.336132625 -1.090249479 0.358816927 -1.024942972 0.34607505 -1.061099619 0.325573236 -1.122167848 0.349717372 -1.05062996 0.347413272 -1.057240222 0.338981713 -1.081809118 0.365987311 -1.005156617 0.351154078 -1.046530184 0.321714847 -1.134089693 0.353658546 -1.03942339 0.343879854 -1.067462944 55666_61-67 LACMHC 55667_61-67 LACMHC 55675_61-67 LACMHC 55681_61-67 LACMHC 55683_61-67 LACMHC 55685_61-67 LACMHC 55691_61-67 LACMHC 55692_61-67 141 LACMHC 0.327826863 -1.115269666 0.364597274 -1.008961893 0.359286065 -1.023636369 0.3124034 -1.163459978 0.343225599 -1.069367324 0.322231797 -1.132484126 0.326985374 -1.117839837 0.349014276 -1.052642453 0.327047729 -1.117649157 0.329117611 -1.111340113 0.356286829 -1.032019174 0.358547617 -1.025693805 0.33074835 -1.106397465 0.360118883 -1.02132107 0.362818164 -1.013853496 0.326532821 -1.119224813 0.360517999 -1.020213396 0.351502783 -1.045537651 0.328129751 -1.114346165 0.353722778 -1.039241785 0.346788488 -1.05904023 0.334960653 -1.093742209 0.355565243 -1.034046523 0.344435641 -1.065848025 55693_61-67 LACMHC 55694_61-67 LACMHC 55695_61-67 LACMHC 675_61-67 LACMHC 676_61-67 LACMHC 680_61-67 LACMHC 681_61-67 LACMHC 682_61-67 142 LACMHC 0.342563267 -1.071298916 0.358601367 -1.025543907 0.3456725 -1.062263484 R17460_91 0.32595149 -1.121006713 0.330724091 -1.106470812 0.337818422 -1.085246739 R17488_91 0.325374369 -1.122778855 0.350242473 -1.049129584 0.338593916 -1.082953779 R17928_91 0.333054681 -1.099448594 0.360311982 -1.020785005 0.328538594 -1.113100964 R18664_91 0.331164143 -1.105141126 0.350650419 -1.047965509 0.351428478 -1.045749064 R27246_91 0.324749346 -1.124701636 0.344700788 -1.065078518 0.345096771 -1.063930406 R28351_91 0.340461152 -1.07745425 0.365444694 -1.006640326 0.357902174 -1.027495586 R28379_91 0.320220347 -1.138745935 0.364243327 -1.009933154 0.34549175 -1.062786513 R28913_91 0.331048969 -1.105488973 0.353929948 -1.038656273 0.348887836 -1.053004795 R30721_91 0.339390861 -1.080602853 0.344252312 -1.066380426 0.344817949 -1.064738685 R30746_91 0.325058903 -1.123748873 0.357068658 -1.029827196 0.340732607 -1.076657253 R31305_91 0.312469255 -1.163249199 0.349491756 -1.051275307 0.334771184 -1.094308012 R34526_91 0.323439612 -1.128742854 0.357498372 -1.028624469 0.342571051 -1.071276195 R34706_91 0.325881884 -1.121220281 0.352654928 -1.042265241 0.334193408 -1.096035387 R38491_91 0.329844631 -1.10913355 0.357384015 -1.028944402 0.346679663 -1.059354086 683_61-67 143 R39009_91 0.306315115 -1.183140919 0.345216087 -1.063584719 0.329601891 -1.109869745 R39376_91 0.332847418 -1.100071098 0.358128634 -1.026863046 0.350229446 -1.049166778 R39566_91 0.324185664 -1.126438891 0.358373045 -1.026180809 0.336781785 -1.08832008 R39965_91 0.330061159 -1.108477312 0.353353201 -1.040287154 0.328554112 -1.11305373 R40942_91 0.329390191 -1.11051224 0.354965495 -1.035734691 0.353912519 -1.038705519 R52965_91 0.315035361 -1.15507039 0.343284541 -1.069195611 0.310615463 -1.169199585 R53460_91 0.322579446 -1.131405828 0.348649073 -1.053689385 0.356275495 -1.032050986 R53878_91 0.328933643 -1.111899242 0.346007328 -1.061295324 0.329275239 -1.110861285 ln Carn.-Mfossa Carnassial (4-6) lnCarnassial (4-6) Specimen #_Pit # Carn.-Mfossa (5-8) (5-8) 2301-L-101_13 0.127747095 -2.057702792 0.121156657 -2.110670882 2301-L-106_61-67 0.133748213 -2.011796252 0.127317602 -2.061070514 2301-L-109_61-67 0.111509203 -2.193648157 0.127486598 -2.059744033 2301-L-10_61-67 0.103827589 -2.265023556 0.119615963 -2.123468976 2301-L-120_61-67 0.111898233 -2.190165454 0.13015186 -2.039053356 144 2301-L-123_61-67 0.117529594 -2.141065112 0.130734212 -2.034588934 2301-L-12_61-67 0.10366967 -2.266545684 0.127622533 -2.058678329 2301-L-140_61-67 0.129871881 -2.041206847 0.122602952 -2.098804181 2301-L-143_13 0.115732031 -2.156477838 0.136164509 -1.993891501 2301-L-148_61-67 0.124468782 -2.083700344 0.123021383 -2.095397097 2301-L-154_61-67 0.102621749 -2.276705392 0.127860667 -2.056814149 2301-L-155_61-67 0.119347757 -2.125713718 0.126370428 -2.068537779 2301-L-156_61-67 0.115542453 -2.158117259 0.127121683 -2.062610517 2301-L-164_61-67 0.133028334 -2.017193134 0.124269059 -2.085306236 2301-L-167_61-67 0.132879064 -2.018315861 0.122769896 -2.097443442 2301-L-173_13 0.138242252 -1.978747687 0.130243741 -2.038347651 2301-L-185_61-67 0.123989626 -2.087557377 0.127716675 -2.057940949 2301-L-186_61-67 0.124296855 -2.085082585 0.125569771 -2.074893731 2301-L-193_61-67 0.113468857 -2.176226869 0.130191659 -2.038747615 2301-L-203_61-67 0.119844562 -2.121559693 0.1278853 -2.056621508 2301-L-210_61-67 0.119242981 -2.126592014 0.12837539 -2.052796572 145 2301-L-211_61-67 0.111418862 -2.19445865 0.128778411 -2.049662096 2301-L-218_61-67 0.111788435 -2.191147163 0.123785741 -2.089203106 2301-L-242_61-67 0.111635771 -2.192513755 0.124025498 -2.087268105 2301-L-244_61-67 0.109892101 -2.208256298 0.125836569 -2.072771286 2301-L-245_61-67 0.116548249 -2.149449936 0.128245138 -2.053811706 2301-L-246_61-67 0.12037617 -2.11713369 0.125115853 -2.078515145 2301-L-28_61-67 0.123614792 -2.090585065 0.125618023 -2.074509541 2301-L-419_13 0.116655606 -2.148529224 0.12518982 -2.07792413 2301-L-425_61-67 0.121610208 -2.106934366 0.125628254 -2.074428094 2301-L-428_61-67 0.137076974 -1.987212658 0.117189766 -2.143960724 2301-L-42_61-67 0.127894653 -2.056548376 0.123812205 -2.08898934 2301-L-430_61-67 0.119770034 -2.12218176 0.119713522 -2.122653708 2301-L-433_61-67 0.111752188 -2.191471467 0.128778043 -2.049664951 2301-L-447_13 0.145801657 -1.925508092 0.152050847 -1.883540296 2301-L-44_61-67 0.121261064 -2.109809502 0.123623658 -2.090513341 2301-L-451_13 0.113703049 -2.174165058 0.132100475 -2.024192475 146 2301-L-455_61-67 0.114067165 -2.170967835 0.118577294 -2.13219026 2301-L-466_13 0.12112557 -2.1109275 0.130709753 -2.034776037 2301-L-468_13 0.134556318 -2.005772449 0.129945787 -2.040637942 2301-L-469_61-67 0.134773358 -2.004160742 0.121424483 -2.108462749 2301-L-474_13 0.122625454 -2.098620661 0.118490819 -2.132919796 2301-L-475_13 0.122507304 -2.099584627 0.133378823 -2.014561905 2301-L-482_61-67 0.125608263 -2.07458724 0.129745907 -2.042177303 2301-L-48_61-67 0.122996381 -2.095600344 0.128633874 -2.050785094 2301-L-490_13 0.119833493 -2.121652058 0.139654454 -1.968584092 2301-L-493_61-67 0.134633219 -2.005201091 0.144867648 -1.931934723 2301-L-4_61-67 0.124626658 -2.082432748 0.131835344 -2.026201531 2301-L-500_13 0.134728687 -2.00449225 0.130884221 -2.033442152 2301-L-509_61-67 0.119685305 -2.122889442 0.132928492 -2.017943951 2301-L-50_61-67 0.11967467 -2.122978298 0.120663269 -2.114751515 2301-L-511_61-67 0.127813375 -2.05718409 0.127781574 -2.057432923 2301-L-514_61-67 0.131666892 -2.027480095 0.127035816 -2.063286219 147 2301-L-516_61-67 0.119466061 -2.124722956 0.1246081 -2.082581668 2301-L-517_61-67 0.120869237 -2.113046 0.137311337 -1.985504401 2301-L-518_61-67 0.12603709 -2.071179053 0.124468223 -2.08370483 2301-L-537_61-67 0.135433172 -1.999276954 0.12495074 -2.079835703 2301-L-63_13 0.123548753 -2.091119441 0.117958796 -2.137419902 2301-L-64_61-67 0.119455624 -2.124810327 0.123216914 -2.093808951 2301-L-65_61-67 0.125382729 -2.07638439 0.112350667 -2.186130342 2301-L-66_61-67 0.116237915 -2.152116194 0.123351159 -2.092720041 2301-L-68_61-67 0.122904274 -2.096349489 0.123810282 -2.089004869 2301-L-70_13 0.130551925 -2.03598424 0.136480283 -1.991575122 2301-L-72_13 0.133642193 -2.012589249 0.122158062 -2.102439481 2301-L-74_61-67 0.12068522 -2.114569607 0.121169176 -2.110567562 2301-L-79_61-67 0.121806499 -2.105321565 0.116754201 -2.147684403 2301-L-81_61-67 0.112682081 -2.183184866 0.140899314 -1.959709728 2301-L-84_61-67 0.115121623 -2.161766116 0.130151868 -2.039053296 2301-L-85_61-67 0.130416411 -2.037022789 0.125903386 -2.072240444 148 2301-L-92_13 0.125935663 -2.07198411 0.129916501 -2.040863334 2301-L-93_13 0.12431227 -2.084958573 0.13088043 -2.033471124 2301-L-95_61-67 0.128825474 -2.049296702 0.125060016 -2.078961532 2301-L-97_61-67 0.128069102 -2.0551853 0.126565642 -2.066994193 2301-L-99_61-67 0.122844558 -2.096835479 0.12427807 -2.085233725 28662_2051 0.108373686 -2.222169965 0.126245376 -2.069527834 28663_2051 0.118071067 -2.136468574 0.12437889 -2.084422806 28720_2051 0.116709917 -2.148063766 0.117674294 -2.139834693 28736_2051 0.123352154 -2.092711977 0.125086161 -2.078752488 28738b_2051 0.130894179 -2.033366076 0.12904821 -2.047569223 28739_2051 0.110601014 -2.201826022 0.12616882 -2.070134431 28756_2051 0.125868009 -2.072521465 0.124553007 -2.083023898 28758_2051 0.117908958 -2.137842496 0.116301569 -2.151568727 29041_2051 0.130296807 -2.037940298 0.121297605 -2.109508204 29049_2051 0.122168715 -2.102352283 0.128681133 -2.050417769 29056_2051 0.114975082 -2.163039856 0.128792619 -2.049551773 149 29068_2051 0.13121933 -2.030885085 0.127855727 -2.056852785 29075_2051 0.127779355 -2.057450293 0.117740995 -2.139268027 29082_2051 0.138130758 -1.979554523 0.126717869 -2.065792164 76919_2051 0.127937358 -2.056214525 0.118442279 -2.13332953 associated with 2301-R- 0.146796941 -1.918705002 0.122797548 -2.097218231 JR3_2051 0.126160414 -2.070201054 0.124207699 -2.085800123 LACMHC 54899_13 0.134496616 -2.006216242 0.12125033 -2.109898026 LACMHC 54901_13 0.125468945 -2.075697001 0.123016513 -2.095436682 LACMHC 54903_13 0.128856286 -2.049057558 0.128382157 -2.052743862 LACMHC 54909_13 0.121820909 -2.105203273 0.13157621 -2.028169051 LACMHC 54912_13 0.127063901 -2.063065164 0.125176611 -2.07802965 LACMHC 54913_13 0.116483389 -2.150006603 0.131180768 -2.031178995 LACMHC 54917_13 0.121686873 -2.106304148 0.130046624 -2.039862248 LACMHC 54921_13 0.119778758 -2.122108919 0.123485769 -2.09162936 LACMHC 54922_13 0.139095657 -1.972593404 0.122660348 -2.098336141 214_61-67 150 LACMHC 54924_13 0.115746139 -2.156355944 0.124019225 -2.087318688 LACMHC 54940_13 0.12233946 -2.100955643 0.13432066 -2.007525355 LACMHC 54943_13 0.142524397 -1.94824209 0.123049658 -2.095167282 LACMHC 54958_13 0.134828587 -2.00375103 0.127966746 -2.055984847 LACMHC 54959_13 0.12425357 -2.085430883 0.129343637 -2.045282566 LACMHC 54962_13 0.132476282 -2.021351654 0.124207787 -2.085799415 LACMHC 54975_13 0.128854343 -2.049072635 0.143151681 -1.943850502 LACMHC 54976_13 0.145273751 -1.92913538 0.1339431 -2.010340198 LACMHC 54977_13 0.111067035 -2.197621338 0.147901024 -1.911211982 LACMHC 54983_13 0.125701999 -2.073841261 0.124249861 -2.085460736 LACMHC 55509_61-67 0.126277498 -2.069273427 0.118525392 -2.132628062 LACMHC 55513_61-67 0.116981174 -2.145742266 0.131072193 -2.032007015 LACMHC 55516_61-67 0.139596527 -1.968998964 0.128896462 -2.048745815 LACMHC 55518_61-67 0.134156333 -2.008749495 0.124842511 -2.080702252 LACMHC 55520_61-67 0.128839504 -2.049187804 0.123661264 -2.090209196 LACMHC 55521_61-67 0.127527087 -2.05942649 0.129237009 -2.046107279 151 LACMHC 55660_61-67 0.126878678 -2.064523943 0.117355657 -2.142546154 LACMHC 55665_61-67 0.122789322 -2.097285218 0.122758746 -2.097534267 LACMHC 55666_61-67 0.122629901 -2.09858439 0.123836807 -2.088790654 LACMHC 55667_61-67 0.118037459 -2.136753259 0.1285971 -2.051071016 LACMHC 55675_61-67 0.120843348 -2.113260218 0.130662947 -2.035134193 LACMHC 55681_61-67 0.12117169 -2.110546816 0.126928433 -2.06413187 LACMHC 55683_61-67 0.122418371 -2.100310827 0.120004377 -2.120227066 LACMHC 55685_61-67 0.136353418 -1.992505105 0.124535096 -2.083167706 LACMHC 55691_61-67 0.113707131 -2.174129167 0.127076928 -2.062962647 LACMHC 55692_61-67 0.117798171 -2.138782533 0.131053857 -2.032146921 LACMHC 55693_61-67 0.126138811 -2.070372304 0.119751024 -2.122340494 LACMHC 55694_61-67 0.117162372 -2.144194512 0.1350382 -2.002197578 LACMHC 55695_61-67 0.126683483 -2.066063565 0.128076935 -2.055124139 LACMHC 675_61-67 0.11908879 -2.127885933 0.117427561 -2.141933642 LACMHC 676_61-67 0.135380494 -1.999665995 0.121725896 -2.105983516 LACMHC 680_61-67 0.119908418 -2.121027014 0.132807361 -2.018855613 152 LACMHC 681_61-67 0.114578141 -2.166498238 0.131972789 -2.025159518 LACMHC 682_61-67 0.108044576 -2.225211393 0.128778876 -2.049658488 LACMHC 683_61-67 0.110897092 -2.199152606 0.123616814 -2.09056871 R17460_91 0.108468936 -2.221291448 0.123684996 -2.090017302 R17488_91 0.112325661 -2.186352941 0.126563548 -2.067010742 R17928_91 0.130131585 -2.039209149 0.133842725 -2.01108986 R18664_91 0.127772772 -2.057501808 0.127311324 -2.061119821 R27246_91 0.13995398 -1.966441624 0.132007309 -2.024897987 R28351_91 0.125701686 -2.073843755 0.131675108 -2.027417694 R28379_91 0.125837672 -2.07276252 0.125507637 -2.075388667 R28913_91 0.12090785 -2.112726596 0.132180265 -2.023588641 R30721_91 0.130934562 -2.033057606 0.122997047 -2.095594928 R30746_91 0.122244437 -2.101732661 0.132643149 -2.020092846 R31305_91 0.118844417 -2.129940058 0.120278766 -2.11794318 R34526_91 0.138747745 -1.975097781 0.120623617 -2.115080184 R34706_91 0.120110894 -2.119339844 0.125723619 -2.073669283 153 R38491_91 0.113406809 -2.176773844 0.123519628 -2.091355202 R39009_91 0.134848283 -2.003604965 0.14097603 -1.959165405 R39376_91 0.116894252 -2.146485582 0.124490526 -2.083525661 R39566_91 0.12560474 -2.074615285 0.116105875 -2.153252784 R39965_91 0.137362805 -1.98512964 0.127610633 -2.058771583 R40942_91 0.126689943 -2.066012568 0.120376654 -2.117129667 R52965_91 0.133028743 -2.017190061 0.147565594 -1.913482499 R53460_91 0.121151807 -2.110710915 0.130745846 -2.034499949 R53878_91 0.134496057 -2.006220393 0.126946155 -2.063992261 Specimen LM1 X LM1 Y LM2 X LM2 Y LM3 X LM3 Y LM4 X LM4 Y -0.3924795 -0.0008198 -0.3415538 0.00188078 -0.3095324 -0.0015914 -0.0981138 0.00342398 -0.3895825 0.0021060 -0.33666 0.00168871 -0.322862 0.00070599 -0.1044642 -0.001134 #_Pit # 2301-L101_13 2301-L106_61-67 2 154 2301-L- -0.3964031 109_61-67 2301-L- 0.0018633 -0.3478548 0.00359294 -0.3107 -0.0008102 -0.1040596 -0.0006819 9 -0.409209 -0.0154699 -0.3447565 0.00561562 -0.3103814 -0.0008073 -0.0989052 -0.0002341 -0.3967911 0.0045901 -0.3395487 0.00651595 -0.3117362 0.00363848 -0.1056194 -0.0041285 -0.3371787 0.00059997 -0.3051129 -0.0057938 -0.1091655 -0.0015298 10_61-67 2301-L120_61-67 2301-L- 7 -0.3897089 123_61-67 2301-L- 0.0002816 6 -0.4009979 -0.0044982 -0.3422655 0.00336737 -0.3125166 -0.0030859 -0.1044671 0.00497557 -0.3967458 -0.0098964 -0.3304684 0.00450438 -0.3030422 0.00213998 -0.1097227 0.00385264 -0.3986172 -0.0190251 -0.33494 0.00111362 -0.3111969 0.0048411 -0.1123933 0.00368309 -0.3959729 -0.0145061 -0.3359816 -0.0001244 -0.3079895 -0.0037376 -0.1077879 0.00006968 12_61-67 2301-L140_61-67 2301-L143_13 2301-L148_61-67 155 2301-L- -0.395746 -0.0050669 -0.3365968 -0.007524 -0.3219965 -0.0055664 -0.1027931 0.0049336 -0.3972573 -0.0130794 -0.3272114 0.00040334 -0.3043606 0.00420541 -0.1059263 0.00496219 -0.3875294 0.0005904 -0.3344303 -0.0021811 -0.3113824 -0.0032061 -0.1081684 0.0034046 154_61-67 2301-L155_61-67 2301-L156_61-67 2301-L- 5 -0.3801089 -0.001676 -0.3381599 -0.0006096 -0.3138595 -0.0021676 -0.1093772 0.00212918 -0.387202 0.004541 -0.3357338 -0.001933 -0.3081964 -0.0049341 -0.1046848 -0.0043609 -0.3778839 -0.0014903 -0.329941 -0.0032438 -0.3060879 -0.0074645 -0.1131185 -0.0071915 -0.3964987 -0.0191639 -0.3364985 0.00314241 -0.3107696 0.00315693 -0.1071743 0.00055289 -0.3893643 -0.0256153 -0.3373113 0.00730132 -0.3090502 0.0041371 -0.1048973 0.00029137 164_61-67 2301-L167_61-67 2301-L173_13 2301-L185_61-67 2301-L186_61-67 156 2301-L- -0.3826911 -0.0337002 -0.3313966 0.00280037 -0.3163786 0.0013933 -0.1054471 -0.0055192 -0.3914992 -0.0251034 -0.3273972 -0.002228 -0.3158099 -0.0036223 -0.1063015 0.00349377 -0.3937957 -0.0129937 -0.3250077 0.00325341 -0.3092241 0.00085958 -0.1102041 0.00332732 -0.3998661 -0.0131753 -0.3385448 0.00200949 -0.3078407 -0.0012173 -0.1075226 0.00171337 -0.4010442 -0.0085592 -0.3381044 -0.0029414 -0.3024526 -0.0071879 -0.1042089 0.0003845 -0.4037993 -0.0113249 -0.3399869 0.0046395 -0.3083075 -0.0037996 -0.1031151 0.00633805 -0.4115361 -0.0097194 -0.3406995 0.00169988 -0.3068803 -0.0014751 -0.1036504 -0.0008395 -0.397258 -0.0143697 -0.3319437 -0.0003596 -0.3131585 -0.0016862 -0.1084107 0.00051232 193_61-67 2301-L203_61-67 2301-L210_61-67 2301-L211_61-67 2301-L218_61-67 2301-L242_61-67 2301-L244_61-67 2301-L245_61-67 157 2301-L- -0.4010107 -0.0117376 -0.3406772 0.00274805 -0.3088204 -0.0034221 -0.1072857 0.0052218 -0.3882836 -0.0173466 -0.3333375 -0.0017032 -0.3076526 -0.0033353 -0.1066006 0.00152782 -0.3834555 -0.0012815 -0.3433069 -0.0124628 -0.3155786 -0.0108811 -0.1088317 0.00421679 -0.3879325 -0.018813 -0.3289726 0.00272665 -0.3100671 0.00429349 -0.1093386 -0.0003639 -0.3899459 -0.005702 -0.329291 -0.0009572 -0.3132505 -0.0049902 -0.1047713 -0.0009508 -0.3908449 -0.0254838 -0.3325418 0.005874 -0.30683 0.00168584 -0.1050855 0.00100468 -0.3953087 -0.0012796 -0.3278511 -0.0060328 -0.3218879 -0.0052212 -0.1056395 -0.0033014 -0.3950143 -0.0141748 -0.3401946 0.00597624 -0.3124832 -0.0004788 -0.1062939 0.00551899 246_61-67 2301-L28_61-67 2301-L419_13 2301-L425_61-67 2301-L428_61-67 2301-L42_61-67 2301-L430_61-67 2301-L433_61-67 158 2301-L- -0.3911427 447_13 2301-L- 0.0043710 -0.3308429 0.00127983 -0.3140108 0.00105057 -0.12709 -0.0133367 4 -0.3969023 -0.0142137 -0.3329716 -0.0003891 -0.3090064 -0.000984 -0.102171 0.00285318 -0.3823994 -0.0372788 -0.3331224 0.00940934 -0.3190904 0.01144697 -0.1086296 0.00613646 -0.3992587 -0.0052213 -0.3359453 -0.0047054 -0.3143219 -0.0022544 -0.1001172 0.00538052 -0.3831688 -0.0179976 -0.3427388 0.00104212 -0.3110889 0.00083257 -0.1095959 0.0051244 -0.3863247 0.0109098 -0.332206 0.00178796 -0.3149159 0.00138791 -0.1152959 0.00257343 44_61-67 2301-L451_13 2301-L455_61-67 2301-L466_13 2301-L468_13 2301-L- 4 -0.3940762 -0.0133705 -0.325279 0.00206952 -0.3085482 -0.0035507 -0.1058843 -0.0028472 -0.3889638 -0.0070438 -0.3356819 0.00185155 -0.3037711 -0.0033636 -0.1044087 -0.0115731 469_61-67 2301-L474_13 159 2301-L- -0.4060361 -0.022928 -0.3394044 0.01039385 -0.3085506 0.0106575 -0.1113106 0.00699327 -0.4041366 -0.0016424 -0.3390016 0.003785 -0.3113561 0.00243285 -0.1073121 0.00231596 -0.3974974 -0.0066987 -0.3340767 0.0098723 -0.3122487 0.00663756 -0.1094227 -0.0058316 -0.401025 -0.003766 -0.3350369 0.00696443 -0.312413 0.00508365 -0.1103263 0.00062272 -0.3978641 0.0065752 -0.3375783 0.00624042 -0.3213987 0.00630893 -0.1122513 -0.018046 475_13 2301-L482_61-67 2301-L48_61-67 2301-L490_13 2301-L493_61-67 2301-L- 1 -0.4034084 -0.0067081 -0.3370418 0.00573843 -0.3094879 0.00175572 -0.1139549 0.00523204 -0.4053586 0.0059980 -0.3342811 0.01301395 -0.3056699 0.0017773 -0.1084278 -0.0014442 -0.3294614 0.00201708 -0.311806 -7.942E-05 -0.1107311 -0.0063107 4_61-67 2301-L500_13 2301-L509_61-67 2 -0.3862396 0.0032411 2 160 2301-L- -0.3889022 -0.0202188 -0.3328447 0.00072104 -0.3123431 0.00363135 -0.1059004 0.00293767 -0.3970832 -0.0151704 -0.3350827 0.01532749 -0.3081951 0.00738526 -0.107911 -0.0076966 -0.4005749 -0.011506 -0.3370609 0.00719872 -0.3076237 0.00090464 -0.1073794 0.00302845 -0.4039707 -0.0165733 -0.3421272 0.00057527 -0.3046489 -0.0029237 -0.1042569 0.001579 -0.3872583 -0.0058461 -0.3374932 -0.0042844 -0.3179794 -0.0040623 -0.1139306 -0.0005522 -0.4010606 -0.0106441 -0.3352668 0.00149475 -0.3112814 0.00205848 -0.1079009 0.00857634 -0.4069971 -0.0090625 -0.3423303 0.00281445 -0.3099497 0.00153171 -0.1059655 0.00341766 -0.4054011 -0.0041629 -0.341017 0.00313689 -0.2965612 0.00170032 -0.1076128 0.00484076 50_61-67 2301-L511_61-67 2301-L514_61-67 2301-L516_61-67 2301-L517_61-67 2301-L518_61-67 2301-L537_61-67 2301-L63_13 161 2301-L- -0.3950299 -0.0043558 -0.3314847 0.00227895 -0.2980734 -0.0023235 -0.1118402 0.00632291 -0.4035229 -0.0039486 -0.3453306 0.0077412 -0.3014266 -0.0038742 -0.1011798 0.00817846 -0.3890411 0.0030475 -0.3378507 0.00267628 -0.3115229 0.00091901 -0.1121795 0.00175498 64_61-67 2301-L65_61-67 2301-L66_61-67 2301-L- 2 -0.4004718 -0.0140396 -0.3323319 0.00127263 -0.3156344 -0.0050307 -0.1033836 0.00042165 -0.3906434 -0.0117384 -0.3372417 -0.0067398 -0.3145617 -0.0076877 -0.1145974 0.0058425 -0.3961849 0.0023125 -0.3379627 0.00356036 -0.3068883 0.00082218 -0.1030215 0.00103075 68_61-67 2301-L70_13 2301-L72_13 2301-L- 6 -0.4005348 -0.0141459 -0.3386797 0.00098082 -0.3106806 -0.0016233 -0.1044887 0.00466239 -0.4017604 -0.0139989 -0.3412125 0.0015761 -0.3065198 -0.0031751 -0.1020951 0.0045085 74_61-67 2301-L79_61-67 162 2301-L- -0.3765273 -0.0394859 -0.3284784 0.01001122 -0.3172743 0.00861164 -0.1182973 0.00479652 -0.4024945 -0.0080438 -0.3365065 0.00602901 -0.3093899 0.00291615 -0.1047865 0.00296144 -0.3982865 -0.0018369 -0.3295002 0.00384378 -0.3047951 0.0041873 -0.1100872 0.010746 -0.3920598 0.0014801 -0.3351254 0.00408825 -0.3133359 0.00250976 -0.1121266 0.00546926 -0.3335392 0.00116084 -0.3110525 -0.0016397 -0.1129864 -0.0014508 81_61-67 2301-L84_61-67 2301-L85_61-67 2301-L92_13 2301-L- 9 -0.3847847 93_13 2301-L- 0.0009277 3 -0.3991853 -0.0085419 -0.3384348 0.00356555 -0.3151785 0.00028295 -0.1083001 0.00463335 -0.40467 -0.0148877 -0.3356178 0.00218834 -0.315244 0.00116027 -0.1058179 0.0021747 -0.3991493 -0.0144541 -0.3406779 0.00251362 -0.3042409 0.00083055 -0.1088688 0.00924375 95_61-67 2301-L97_61-67 2301-L99_61-67 163 28662_2051 -0.4042249 -0.0175442 -0.3396627 0.00245347 -0.3119865 0.0000483 -0.1005415 0.00281107 28663_2051 -0.3945236 0.0086694 -0.3270192 0.00391587 -0.3131033 0.00463224 -0.1049729 -0.0075504 2 28720_2051 -0.3906253 -0.005983 -0.3361838 -0.0007363 -0.3047007 -0.0038585 -0.1053228 -0.0054671 28736_2051 -0.3885786 -0.0045448 -0.3328595 -0.0018287 -0.3071996 -0.003781 -0.107611 -0.0073307 28738b_205 -0.385002 0.0009209 -0.3284079 -0.0016567 -0.3131686 0.0019657 -0.1085178 -0.0063923 1 4 28739_2051 -0.3948146 -0.0123355 -0.3355236 0.01114483 -0.3064332 0.0082369 -0.1050151 0.0015854 28756_2051 -0.3746209 -0.0215458 -0.3348075 0.0118144 -0.3033302 0.00450564 -0.110347 -0.0054074 28758_2051 -0.4031273 -0.0051293 -0.3384907 0.00842914 -0.3032125 -0.0018873 -0.101082 -0.0001266 29041_2051 -0.383887 -0.0061921 -0.3349207 -0.0022372 -0.3162261 -0.0047566 -0.107602 0.00607435 29049_2051 -0.3888314 0.0023794 -0.3344127 -0.0030248 -0.3159842 -0.0029707 -0.1111262 -0.0008092 1 29056_2051 -0.404427 -0.019168 -0.3387102 -0.0039062 -0.3097469 -0.0009638 -0.1093093 0.00278966 29068_2051 -0.3926062 -0.0124054 -0.3361669 0.00415911 -0.3101197 0.00296997 -0.1114856 -0.006657 29075_2051 -0.3875522 -0.0076596 -0.3382154 -0.004798 -0.3050623 -0.0056664 -0.1059328 -0.0006787 164 29082_2051 -0.3982715 -0.0092962 -0.3294917 0.00373631 -0.3141039 0.00451468 -0.1078711 -0.001662 76919_2051 -0.3951179 0.0031151 -0.3363472 -0.0051744 -0.3082596 -0.003917 -0.1027397 -0.0054984 2 associated -0.3812745 -0.0232925 -0.3216418 -0.0069303 -0.296663 -0.0093134 -0.1179758 0.00949147 -0.3918763 0.0014827 -0.3322118 -0.0021327 -0.3062 0.00114438 -0.1107507 0.00343116 -0.343399 0.00083162 -0.3140186 0.00015436 -0.0992397 0.00534538 with 2301-R214_61-67 JR3_2051 1 LACMHC -0.4021381 54899_13 LACMHC 0.0062183 6 -0.3840228 -0.002062 -0.3331849 -0.0006842 -0.3084289 -0.0032299 -0.108975 -0.0002906 -0.3897796 -0.0005176 -0.3314914 -0.0026301 -0.3051371 -0.0034019 -0.1123418 -0.0049723 -0.3861191 0.0000205 -0.3363221 0.00254752 -0.308939 0.00116167 -0.1096869 -0.0016579 54901_13 LACMHC 54903_13 LACMHC 54909_13 6 165 LACMHC -0.4021058 -0.0171569 -0.3450004 0.00832708 -0.3111923 0.00235458 -0.1031687 0.0096893 -0.3996095 -0.0212601 -0.3433425 0.00775215 -0.312257 0.00413271 -0.1030366 0.00547717 -0.3997142 -0.0168661 -0.3542898 0.00915879 -0.3097804 0.00601022 -0.1100597 0.00708217 -0.3997461 -0.0073059 -0.3353648 0.00030451 -0.3147568 0.00072694 -0.1036005 0.00636195 -0.3874223 -0.0067268 -0.3445761 -0.0024899 -0.3044926 -0.0051835 -0.1137849 0.01346049 -0.4006883 -0.0011006 -0.3477997 0.00050327 -0.3077308 -0.0046381 -0.1080876 0.00776742 -0.3780212 -0.004408 -0.3321331 0.00068972 -0.3214376 -0.0001078 -0.1173902 0.00327611 -0.3959195 0.0046725 -0.3360317 0.00369749 -0.3123267 -0.0033215 -0.1040581 0.00124127 54912_13 LACMHC 54913_13 LACMHC 54917_13 LACMHC 54921_13 LACMHC 54922_13 LACMHC 54924_13 LACMHC 54940_13 LACMHC 54943_13 166 LACMHC -0.3765296 -0.0027538 -0.3326397 -0.0095232 -0.3165215 -0.0091058 -0.1113782 -0.0007314 -0.3925499 0.0023431 -0.3393564 0.00013449 -0.3089533 -0.0023423 -0.1121212 -0.0022758 -0.3309622 0.00219947 -0.3046221 0.00218016 -0.1124909 -6.448E-05 54958_13 LACMHC 54959_13 LACMHC 6 -0.3860642 54962_13 LACMHC 0.0085972 4 -0.3682684 -0.0305898 -0.3309706 0.00594889 -0.3206325 0.00369925 -0.1215421 0.00443351 -0.392082 0.0032516 -0.3382362 0.00254243 -0.3215056 -0.0039751 -0.1088172 -0.0070087 -0.3249117 0.0007041 -0.3134324 -0.0022972 -0.1195562 -0.0056483 -0.3285368 -0.0025987 -0.306879 -0.0014352 -0.1101905 0.00183242 -0.340809 0.00014447 -0.3117796 -0.0030425 -0.0999871 0.00817101 54975_13 LACMHC 54976_13 LACMHC 1 -0.3845607 54977_13 LACMHC 7 -0.3911119 54983_13 LACMHC 0.0042809 0.0049376 5 -0.4030841 -0.0140191 55509_61-67 167 LACMHC -0.3941724 55513_61-67 LACMHC 0.0009572 -0.3311424 0.00002057 -0.3186509 -0.0049261 -0.1061042 -4.598E-05 5 -0.3857966 -0.0039237 -0.3271861 0.00191876 -0.3086533 -1.164E-05 -0.1148808 -0.0019936 -0.3898441 -0.0056894 -0.334889 -0.0032343 -0.3147314 -0.0043853 -0.1076703 -0.0072984 -0.394081 -0.0024969 -0.3334374 -0.0013078 -0.3126801 -0.0038157 -0.1039121 -0.003123 -0.3966753 0.0023228 -0.335012 0.00245174 -0.3174389 0.00102582 -0.1081686 -0.0016875 -0.3394402 0.00026669 -0.3059166 -0.0034456 -0.1110905 0.00424234 55516_61-67 LACMHC 55518_61-67 LACMHC 55520_61-67 LACMHC 55521_61-67 LACMHC 5 -0.3931553 55660_61-67 LACMHC 0.0004641 5 -0.3919871 -0.0178207 -0.3314465 -0.0023544 -0.3158474 -0.0018234 -0.1064349 0.00364241 -0.3933896 -0.0141885 -0.3378952 0.00130834 -0.3031323 -0.0040653 -0.1079432 0.00293583 55665_61-67 LACMHC 55666_61-67 168 LACMHC -0.4056479 -0.0180136 -0.3413664 0.00286497 -0.3106582 -0.0008964 -0.1030378 -0.0003755 -0.4027827 -0.0076276 -0.3346855 -0.0014125 -0.3126454 -0.0048538 -0.1071985 -0.0010692 -0.3947756 -0.0288433 -0.3329329 0.00110865 -0.3161556 0.00154347 -0.1036279 0.00347288 -0.4018741 -0.0087875 -0.3385195 -0.0028622 -0.3030783 -0.0056358 -0.1054886 0.00706327 -0.3977272 -0.0152668 -0.3318189 0.00291021 -0.3157832 0.00394645 -0.1088223 0.00040825 -0.3916137 -0.0064248 -0.3352875 -0.002338 -0.3078734 -0.0041415 -0.1073768 0.0019369 -0.3976648 -0.0023191 -0.3388731 -0.0027999 -0.3175717 -0.0053582 -0.1099123 -0.0045487 -0.3883778 -0.0005229 -0.3379756 -0.0031735 -0.3101121 -0.0040583 -0.110389 0.00463518 55667_61-67 LACMHC 55675_61-67 LACMHC 55681_61-67 LACMHC 55683_61-67 LACMHC 55685_61-67 LACMHC 55691_61-67 LACMHC 55692_61-67 LACMHC 55693_61-67 169 LACMHC -0.3982107 55694_61-67 LACMHC 0.0080975 -0.337614 0.00726418 -0.3244831 0.00724961 -0.1000445 -0.0142988 8 -0.396446 -0.0318843 -0.3364396 0.00317972 -0.32614 0.00277185 -0.101086 0.00323499 -0.3962121 -0.00877 -0.3345 0.00289309 -0.3053102 -0.0012523 -0.1030769 -0.0009593 -0.4005978 -0.0098527 -0.3366456 0.00080292 -0.3033643 -0.0028084 -0.1067369 0.00267294 -0.4000715 -0.0100507 -0.3356428 0.00955363 -0.3122882 0.00548146 -0.11338 -0.0019527 -0.3947842 -0.0056296 -0.3405374 -0.003262 -0.3198317 -0.0051361 -0.1110758 0.0081096 -0.4004494 -0.0081031 -0.3397754 0.00853326 -0.3073457 0.00475585 -0.1097321 0.00211551 -0.3952931 -0.0090159 -0.3324376 0.0057075 -0.3119344 0.00045405 -0.1073851 -0.0012841 55695_61-67 LACMHC 675_61-67 LACMHC 676_61-67 LACMHC 680_61-67 LACMHC 681_61-67 LACMHC 682_61-67 LACMHC 683_61-67 170 R17460_91 -0.3971366 0.0029686 -0.3334335 0.00248667 -0.3158321 -0.0018407 -0.1003985 0.0087421 5 R17488_91 -0.3894337 -0.0024536 -0.3426391 -0.002425 -0.3174879 -0.0027581 -0.1069553 0.00854969 R17928_91 -0.3934936 0.0032470 -0.3432827 0.0018057 -0.3164559 0.0005175 -0.111729 -0.0008795 5 R18664_91 -0.3934855 -0.0060201 -0.3286969 -0.008427 -0.3136064 -0.0056322 -0.1099532 0.0082957 R27246_91 -0.3915161 -0.0006011 -0.3395326 0.00714874 -0.3136333 0.0043983 -0.1139115 -0.0060906 R28351_91 -0.3887564 0.0002189 -0.3314473 0.00459408 -0.3088947 0.00149067 -0.1147489 -0.0093325 5 R28379_91 -0.3964175 -0.0110408 -0.3276528 0.00842468 -0.315079 0.00343208 -0.1113587 0.01140753 R28913_91 -0.3896973 -0.0020791 -0.3412844 -0.000402 -0.3077322 -0.0054972 -0.1138018 0.00230165 R30721_91 -0.3935453 -0.0254479 -0.3366514 0.00352349 -0.3156893 0.00155462 -0.1042475 -0.001939 R30746_91 -0.3908036 -0.0014774 -0.3328221 0.00339207 -0.3153228 0.00058721 -0.109957 -0.0066127 R31305_91 -0.3894971 0.0007318 -0.332991 0.00454482 -0.3289253 -0.0009999 -0.0998524 -0.0016021 -0.3367012 0.00810198 -0.3167761 0.00758308 -0.1039847 0.00610636 9 R34526_91 -0.388696 -0.021612 171 R34706_91 -0.3983479 0.0017197 -0.3373648 -0.0023078 -0.3145047 0.00243384 -0.1081441 0.00535367 6 R38491_91 -0.4007809 -0.0203578 -0.3424778 0.00450304 -0.3126567 0.00147998 -0.1041716 -0.0025922 R39009_91 -0.4109826 0.0001680 -0.3398209 0.01434884 -0.3266987 0.01474958 -0.1097903 -0.0092901 -0.3351165 -0.0014128 -0.3091988 -0.0062435 -0.113911 0.00423532 6 R39376_91 -0.3887669 0.0013072 3 R39566_91 -0.3902696 -0.0083849 -0.3383417 -0.0030903 -0.3125433 -0.0027047 -0.1013565 0.00381834 R39965_91 -0.3961441 -0.0020275 -0.3414888 0.00255459 -0.3200948 0.00213523 -0.105059 -0.0105094 R40942_91 -0.3969814 -0.0009371 -0.3326235 0.00728716 -0.3100767 0.00396528 -0.1095125 0.00160731 R52965_91 -0.3929842 0.0053777 -0.3342382 0.00522494 -0.3224949 0.00574259 -0.1190106 -0.0155716 9 R53460_91 -0.3903983 -0.0257677 -0.3329894 0.00674331 -0.3151469 0.00388726 -0.1100435 0.00542186 R53878_91 -0.3943519 -0.0036985 -0.3351448 -0.0041822 -0.317858 -0.0031257 -0.1046469 -0.0014038 172 Specimen LM5 X LM5 Y LM6 X LM6 Y LM7 X LM7 Y LM8 X LM8 Y -0.0101514 -0.0035204 0.02302746 0.0053529 0.05196248 0.01384059 0.10906092 -0.0494307 0.06486385 0.02216686 0.12443208 -0.0226137 0.06841893 0.026394 0.0974693 -0.038138 0.0645997 0.02685419 0.09256085 -0.0434678 0.06973023 0.02918983 0.09776397 -0.0471867 #_Pit # 2301-L101_13 2301-L- 8 -0.008728 -0.0100848 0.02279756 106_61-67 2301-L- 9 -0.0089454 -0.004818 0.02325256 109_61-67 2301-L- -0.0039107 -0.0050828 0.02068906 0.0020449 8 -0.0056475 -0.00444 0.02390988 120_61-67 2301-L- 0.0059848 9 10_61-67 2301-L- 0.0026363 0.0085869 3 -0.0119094 -0.0014168 0.02142008 0.0047024 0.06724483 0.02582379 0.09879768 -0.0408776 -0.0040244 -0.0008791 0.0230304 0.0106234 0.06838608 0.03193346 0.0924532 -0.0388195 123_61-67 2301-L12_61-67 5 173 2301-L- -0.0169237 0.005285 0.01233341 140_61-67 2301-L- 0.05588893 0.03658068 0.10371921 -0.0427981 0.07390611 0.03627472 0.1005187 -0.0322458 7 -0.0109508 -0.0011257 0.02352816 143_13 2301-L- 0.0154189 0.0118159 7 -0.0152294 -0.0056123 0.01518883 0.0033847 0.06075282 0.02079244 0.10610435 -0.033372 -0.0055557 -0.0004189 0.02503717 0.0077214 0.06902865 0.02546568 0.09169833 -0.0331737 148_61-67 2301-L154_61-67 2301-L- 6 -0.0151278 155_61-67 2301-L- 0.0031552 0.02029375 0.0111247 0.06710744 0.03004718 0.096605 -0.0387932 0.01893682 0.0054497 0.06564557 0.02782265 0.10034047 -0.0291195 0.06659259 0.02399008 0.11663238 -0.0267825 0.0658874 0.02088317 0.11219653 -0.0302843 2 -0.0134881 -0.0092926 156_61-67 2301-L- 9 -0.0141722 -0.0025605 0.0148821 164_61-67 2301-L167_61-67 0.0036857 2 -0.0176701 -0.0021506 0.01775153 0.0046831 8 174 2301-L- -0.023252 -0.0040389 0.01653977 173_13 2301-L- -0.0131507 -0.0034749 0.02018146 -0.0129395 0.0035531 0.02034227 5 -0.0101532 -0.0037898 0.02459834 -0.0143396 0.0013729 0.0215751 -0.0179875 -0.001863 0.01816744 218_61-67 0.06467573 0.03022355 0.10986791 -0.0189618 0.0093912 0.06639811 0.02623674 0.10681191 -0.029753 0.0006500 0.06894768 0.02749257 0.10043138 -0.0292111 0.0049880 0.0684169 0.03184953 0.10500369 -0.0095771 0.0043228 0.06723675 0.02714407 0.09647779 -0.0352782 0.0658978 0.03152011 0.09561091 -0.0296221 0.06315533 0.03393711 0.09499764 -0.0348566 4 -0.0106379 0.0039243 0.02064182 211_61-67 2301-L- 0.0101483 5 210_61-67 2301-L- -0.0261723 3 203_61-67 2301-L- 0.11320695 3 193_61-67 2301-L- 0.02922234 1 186_61-67 2301-L- 0.06159746 2 185_61-67 2301-L- 0.0051445 0.0142732 4 -0.0083696 0.0077093 5 0.01876916 0.0145020 9 175 2301-L- -0.0114862 242_61-67 2301-L- 0.02086978 2 -0.0113347 244_61-67 2301-L- 0.0025038 0.0031345 0.0095111 0.05986263 0.02442853 0.09427353 -0.0332373 0.06358012 0.04034934 0.09344927 -0.0299805 8 0.02109006 1 0.0157330 9 -0.0165196 -0.0046957 0.01979114 0.0038453 0.0647955 0.02783219 0.09881539 -0.0214686 -0.0141241 -0.0001324 0.01779443 0.0082126 0.06653694 0.03086003 0.09835146 -0.0430237 0.06207642 0.03231181 0.10061019 -0.0375376 0.06862993 0.02670983 0.10102849 -0.0233794 0.05916354 0.02594316 0.1035802 -0.0286728 0.05852194 0.02660324 0.11151671 -0.042001 245_61-67 2301-L246_61-67 2301-L- 7 -0.0165347 28_61-67 2301-L- 0.01880235 3 -0.013049 419_13 2301-L- 0.0019301 0.0010101 6 0.01627483 9 -0.015747 -0.0052195 428_61-67 0.0087832 2 0.01617082 425_61-67 2301-L- 0.0088754 0.0050984 1 -0.020289 -0.0043532 0.01230612 0.0041794 1 176 2301-L- -0.0141746 -0.0039865 0.01871474 42_61-67 2301-L- 0.06338962 0.02585911 0.11183838 -0.0258444 0.0608085 0.03114139 0.10467253 -0.0207678 9 -0.0138183 -0.0033097 0.01390989 430_61-67 2301-L- 0.0027294 0.0029648 9 -0.0078181 -0.0010945 0.02246038 0.0079949 0.06403103 0.02392953 0.09822115 -0.0363682 -0.0146535 -0.0077747 0.02416548 0.0021949 0.07559779 0.02440166 0.12984554 -0.0272212 433_61-67 2301-L447_13 2301-L- 6 -0.0153193 -0.0021052 0.02143908 0.0046881 0.06593933 0.0292069 0.10056912 -0.0378 -0.0112322 0.0044877 0.02332169 0.0124128 0.06917605 0.03902595 0.08916793 -0.0488807 0.01845431 0.0065557 0.06194319 0.02603016 0.09819388 -0.0260053 0.05487641 0.01939759 0.10506509 -0.034899 44_61-67 2301-L451_13 2301-L- 2 -0.0133058 -0.0019398 455_61-67 2301-L466_13 6 -0.0114537 -0.0018116 0.02108984 0.0076287 5 177 2301-L- -0.0181142 -0.0034575 0.01463474 468_13 2301-L- -0.0226308 0.0046084 0.01532064 7 -0.017181 -0.0051213 0.01329354 -0.016738 -0.0005213 0.02206804 -0.0090095 -0.0048185 0.02239788 -0.0132161 493_61-67 0.06936068 0.03028538 0.10615646 -0.0351118 0.0020742 0.06356146 0.02500004 0.10500303 -0.0155171 0.0067846 0.07329134 0.02531312 0.1004065 -0.0363712 0.0053694 0.06845323 0.02677617 0.11454223 -0.0274549 -0.0081741 0.01898969 0.0017142 0.06286713 0.023799 0.10496735 -0.0422444 0.07556239 0.03565452 0.1023114 -0.0418752 0.08385174 0.02626077 0.12158392 -0.0152474 6 -0.0098513 490_13 2301-L- 0.0044514 9 48_61-67 2301-L- -0.030656 6 482_61-67 2301-L- 0.11366457 9 475_13 2301-L- 0.02360086 2 474_13 2301-L- 0.06596738 2 469_61-67 2301-L- 0.0005868 0.0003100 0.02875377 8 -0.0129414 -0.0098591 0.0132761 4 0.03108988 0.0029286 4 178 2301-L- -0.0161327 -0.0030955 0.01787744 4_61-67 2301-L- -0.0125461 -0.0054575 0.02230478 -0.0167441 -0.0032796 0.02199935 -0.014986 0.0010845 0.01472553 2 -0.0145652 -0.0161571 -0.0087305 0.01960096 517_61-67 0.0030094 0.01949506 7 -0.0116079 516_61-67 2301-L- 0.0048550 0.07078343 0.02451912 0.11676614 -0.043275 0.0009424 0.06698108 0.02643336 0.09793265 -0.0375407 0.0059384 0.06322686 0.02737606 0.09938982 -0.034132 0.0006001 0.06301005 0.02837229 0.10717483 -0.0476617 0.06297732 0.03192464 0.10652362 -0.0447985 0.06093199 0.03365096 0.10323559 -0.0314263 0.06388797 0.02555346 0.10074775 -0.0400747 5 514_61-67 2301-L- -0.039653 4 511_61-67 2301-L- 0.10301159 6 50_61-67 2301-L- 0.02492688 2 509_61-67 2301-L- 0.06266225 4 500_13 2301-L- 0.0061249 0.0014844 2 0.01979532 3 -0.0144828 -0.0035877 0.0094294 0.0133360 3 0.02321834 0.0061250 4 179 2301-L- -0.0157159 -0.0036149 0.01649532 518_61-67 2301-L- -0.013858 0.0049492 0.01862174 -0.0188293 -0.0244992 -0.015087 -0.0002429 0.0103031 0.0033893 70_13 0.06736064 0.03493853 0.11756394 -0.0277679 0.0080201 0.06019339 0.02071548 0.09359651 -0.0514751 0.0048425 0.05928802 0.02455944 0.08832349 -0.0358623 0.0059551 0.01101815 0.0140340 0.05510276 0.02853726 0.1024704 -0.0376464 -0.0178301 0.0004572 5 0.01091882 0.0096494 0.05527155 0.0239469 0.09128011 -0.0396204 0.02027899 0.0064672 0.06490359 0.03485407 0.10405454 -0.0371486 0.07153411 0.03582063 0.1073667 -0.0308569 6 -0.0135778 -0.0015382 68_61-67 2301-L- 0.0129418 0.01136786 1 66_61-67 2301-L- -0.0399626 3 65_61-67 2301-L- 0.1049663 7 64_61-67 2301-L- 0.01839927 1 63_13 2301-L- 0.06269342 8 537_61-67 2301-L- 0.0043417 9 -0.0200215 -0.0022901 0.02183527 0.0094461 1 180 2301-L- -0.014689 -0.0084233 0.01913437 72_13 2301-L- -0.0177297 -0.0002651 0.01667918 -0.0151403 0.0027499 0.01463838 6 -0.0141681 -0.0048187 0.0225609 -0.0362594 0.0040934 0.06335697 0.02371221 0.09900992 -0.030872 0.0067101 0.05875612 0.02894219 0.10346926 -0.0249735 0.0081984 0.06678587 0.0293179 0.09378136 -0.0371322 0.0656644 0.02891787 0.10281 -0.0286378 2 -0.0091512 -0.0018483 0.02529753 84_61-67 2301-L- 0.11602206 7 81_61-67 2301-L- 0.02427154 1 79_61-67 2301-L- 0.0636624 6 74_61-67 2301-L- 0.0017575 0.0071630 9 -0.0293673 -0.0018093 0.01531817 -0.0004411 0.06508855 0.02934305 0.09684331 -0.0346625 -0.0141479 -0.0040299 0.01778915 0.0058991 0.06618533 0.02615243 0.10736468 -0.037113 0.06133816 0.02453646 0.1068102 -0.030465 85_61-67 2301-L92_13 2301-L93_13 2 -0.0152873 -0.0071041 0.01771906 0.0053145 7 181 2301-L- -0.0137403 -0.0040126 0.01675908 95_61-67 2301-L- -0.0128271 0.0043508 0.02008348 2 -0.0139532 99_61-67 28662_2051 0.06089791 0.0267202 0.11240647 -0.0301468 0.0659447 0.03700763 0.11212625 -0.0237268 0.07700587 0.01493515 0.10272236 -0.0361658 0.07260415 0.03604397 0.08375666 -0.0500401 9 97_61-67 2301-L- 0.0050877 0.0022736 6 0.01534989 2 -0.0095291 0.0051199 0.0151251 0.0054030 8 0.02514685 8 0.0146574 3 28663_2051 -0.0145586 -0.0125557 0.01936533 -0.0043696 0.06753038 0.02601551 0.09937438 -0.0435403 28720_2051 -0.0180964 -0.0067133 0.01200204 0.0035956 0.05812942 0.02659816 0.09040567 -0.0497076 7 28736_2051 -0.0182344 -0.0055773 0.01707408 0.0026784 0.06645222 0.02699907 0.1028149 -0.0293009 28738b_205 -0.0153742 -0.0062186 0.02009611 0.0041855 0.06272539 0.03471701 0.10831738 -0.04904 0.0617015 0.03084926 0.0876957 -0.0542294 1 28739_2051 9 -0.0108777 -0.0040709 0.02109688 0.0053711 6 182 28756_2051 -0.0184557 -0.0086133 0.01401995 0.0013973 0.05843486 0.03265358 0.09902905 -0.0537807 28758_2051 -0.0132673 -2.48E-06 0.01475902 0.0102128 0.05508459 0.0345911 0.09724708 -0.041101 0.06364665 0.02866122 0.10481138 -0.024254 3 29041_2051 -0.0233153 -0.0005728 0.01367828 0.0081267 8 29049_2051 -0.0100313 -0.0115814 0.01755281 -0.0015501 0.06413207 0.02109252 0.10719181 -0.0459898 29056_2051 -0.0052439 -0.0002893 0.01911422 0.0125336 0.05945901 0.03721771 0.10175907 -0.0423563 0.06465448 0.02776645 0.1060371 -0.0378998 0.05708547 0.03486215 0.10287548 -0.0359506 0.06739086 0.0295002 0.11273296 -0.0440254 0.06461463 0.03253207 0.10340137 -0.0455952 8 29068_2051 -0.0211631 -0.005672 0.01599083 0.0031841 9 29075_2051 -0.0200482 -0.0010605 0.01157512 0.0067257 5 29082_2051 -0.019433 -0.0038724 0.01872323 0.0039314 6 76919_2051 -0.0174406 -0.0035812 0.01516039 0.0058219 1 183 associated -0.0340127 0.007702 0.00466114 with 2301-R- 0.0157704 0.06155761 0.03221733 0.10955577 -0.0229154 9 214_61-67 JR3_2051 -0.0189415 -0.0066431 0.01344958 0.0047887 0.05771857 0.02913332 0.10336434 -0.0375903 LACMHC -0.0073622 -0.0071666 0.02172509 -0.0029716 0.06742704 0.01722332 0.12580234 -0.0260493 -0.0233462 -0.0018299 0.01403129 0.0012953 0.07003153 0.02621873 0.09939982 -0.0278276 -0.0240021 -0.0044574 0.01581375 0.0026527 0.06460839 0.02740915 0.09977927 -0.0402641 0.0711723 0.02432899 0.09813248 -0.0454995 0.06553773 0.03030506 0.10413337 -0.0336681 0.06688901 0.02481292 0.10387367 -0.0373616 54899_13 LACMHC 54901_13 LACMHC 54903_13 LACMHC 5 -0.0168935 -0.0053827 0.02185669 54909_13 LACMHC 4 -0.0173324 54912_13 LACMHC 54913_13 0.0012722 0.0036320 0.02200717 4 -0.0062126 0.0007093 9 0.0101343 5 0.02812981 0.0074159 9 184 LACMHC -0.0161062 54917_13 LACMHC -0.0124503 0.0016702 -0.0207256 0.0079050 0.0198075 54959_13 -0.0273688 0.0107438 0.06601336 0.03102117 0.098579 -0.0432681 0.05427587 0.0359008 0.11266366 -0.0315273 0.01592225 0.0062441 0.06305618 0.02730096 0.09648146 -0.0318729 0.07087247 0.02631026 0.0981049 -0.0343875 0.06561935 0.0232068 0.12627174 -0.0229741 0.06672725 0.02799386 0.1134729 -0.0190195 0.06687027 0.03435214 0.10501143 -0.0362126 5 -0.0148811 -0.0003206 9 -0.0208526 -0.0058206 0.0169149 0.0012323 3 -0.01509 -0.0048068 0.0189717 0.0034518 4 -0.019818 54958_13 LACMHC 0.10146669 0.0157808 54943_13 LACMHC 0.02152613 0.00885355 54940_13 LACMHC 0.06406955 1 54924_13 LACMHC 0.0039174 1 3 54922_13 LACMHC 0.01994842 9 54921_13 LACMHC 0.0040048 0.0012851 0.01651661 3 -0.0149166 -0.003713 0.0035599 5 0.01676199 0.0086285 8 185 LACMHC -0.0232731 -0.005836 0.01171689 54962_13 LACMHC 0.0000173 0.06112182 0.02155464 0.10310725 -0.0455598 4 -0.0206288 -0.0057274 0.02160799 0.0037501 0.07519977 0.02628877 0.10665133 -0.0258075 -0.0148433 -0.0113646 0.02464825 0.0042925 0.07496578 0.02538495 0.12952964 -0.0275177 0.07509055 0.03053456 0.09574395 -0.0372892 0.06415562 0.02115938 0.09233649 -0.0564017 0.0688583 0.02823205 0.11117471 -0.0164437 0.0696372 0.03367912 0.0993926 -0.0398796 0.05812522 0.03592495 0.11176971 -0.0285832 54975_13 LACMHC 54976_13 LACMHC 8 -0.0120624 -0.0105742 0.02765724 54977_13 LACMHC 8 -0.0221799 -0.0045656 0.01405196 54983_13 LACMHC -0.0139468 0.0006038 0.01850085 6 -0.0110142 -0.0012152 55516_61-67 0.0051936 3 0.0246259 55513_61-67 LACMHC 0.0031848 4 55509_61-67 LACMHC 0.0085970 0.0094172 6 -0.0248223 0.0002233 0.01346138 0.0099470 3 186 LACMHC -0.0167923 -0.0065725 0.01666821 55518_61-67 LACMHC -0.0142971 -0.0021553 0.01935336 -0.0110888 -0.0082412 0.02103267 -0.0201938 -0.0153858 0.0001124 0.00625751 0.0005034 0.01630838 9 -0.0154447 55666_61-67 LACMHC 55675_61-67 0.0067634 0.06417695 0.03430179 0.11000868 -0.0360331 0.0013538 0.0648901 0.02510315 0.11333853 -0.0361878 0.0055802 0.05568495 0.02329103 0.10228007 -0.0330289 0.0041335 0.01567391 4 -0.0110102 -8.156E-05 0.0055922 0.06224208 0.02858088 0.10161011 -0.0367683 0.05709919 0.0290834 0.1050087 -0.0188679 0.06967019 0.03566749 0.1035413 -0.0285559 0.06796832 0.03182605 0.1065769 -0.0398698 2 0.0103099 2 0.02533334 55667_61-67 LACMHC -0.0038238 6 55665_61-67 LACMHC 0.11733592 2 55660_61-67 LACMHC 0.0284511 7 55521_61-67 LACMHC 0.06113684 8 55520_61-67 LACMHC 0.0039084 0.0072438 9 -0.0081406 -0.0018828 0.02279451 0.0121455 6 187 LACMHC -0.0131348 55681_61-67 LACMHC 0.02318434 0.0089034 0.06540003 0.03001841 0.10427116 -0.0291688 0.01445087 0.0110111 0.05865049 0.03435009 0.09686006 -0.0431411 0.06610857 0.0326807 0.11642248 -0.0318994 0.06689915 0.02867787 0.08530995 -0.0403499 0.06683735 0.03114998 0.09915123 -0.0313629 0.05928113 0.02554321 0.10295419 -0.0300725 0.08291863 0.02037637 0.10828844 -0.0398605 0.06975993 0.02541439 0.11181647 -0.0311674 2 -0.0160214 55683_61-67 LACMHC 0.0008047 0.0042301 9 -0.0166928 -0.0023598 7 0.01559894 55685_61-67 LACMHC 4 -0.0207557 55691_61-67 LACMHC 0.0006304 0.01948566 8 -0.0143856 55692_61-67 LACMHC 0.0000344 0.02044383 9 -0.0199473 -0.0016786 55695_61-67 0.0089569 6 0.0093619 0.0047927 6 -0.0048816 -0.0095363 0.03415698 55694_61-67 LACMHC 0.0093174 1 55693_61-67 LACMHC 0.0057327 0.0007105 8 -0.0108035 0.0006610 6 0.02685279 0.0091822 5 188 LACMHC -0.0166998 -0.0030563 0.01402717 0.0077516 0.06134154 0.0242775 0.09844162 -0.0334635 -0.0237362 0.0037989 0.01492547 0.0066053 0.06028815 0.03169168 0.10770617 -0.028617 0.07005738 0.02901264 0.09972525 -0.0322365 0.06449343 0.02962278 0.09152099 -0.0336949 0.06781833 0.02778001 0.0876101 -0.032348 675_61-67 LACMHC 676_61-67 LACMHC 6 -0.0169009 -0.0043729 0.01938334 680_61-67 LACMHC 1 -0.0170071 681_61-67 LACMHC 0.0030446 0.02087807 7 -0.0157123 -0.0007551 0.0103424 1 0.01892282 682_61-67 LACMHC 0.0014684 0.0077651 2 -0.0165626 -0.0057886 0.01618362 0.0021631 0.05977033 0.02520575 0.08813682 -0.0423427 -0.0058297 -0.0009023 0.02328646 0.0086356 0.06526928 0.03175744 0.09405971 -0.0431825 0.06331919 0.02699562 0.09160815 -0.0452962 683_61-67 R17460_91 2 R17488_91 -0.0120084 -0.0019295 0.01958105 0.0059269 6 189 R17928_91 -0.0130209 -0.0054871 0.02202378 0.0040262 0.06539464 0.02629029 0.11033714 -0.0469242 0.06580656 0.02860636 0.10767598 -0.033426 0.06687559 0.02873436 0.12149045 -0.0252229 0.06446807 0.02854436 0.10092312 -0.0445311 0.06398124 0.02835025 0.10333459 -0.0419424 8 R18664_91 -0.0147477 0.0031569 0.01731373 8 R27246_91 -0.0172849 -0.0070978 0.0116578 9 0.01770472 0.0040630 7 R28351_91 -0.0195089 -0.0085167 0.01637402 0.0027140 3 R28379_91 -0.0162328 -0.0027153 0.01399692 0.0052315 2 R28913_91 -0.0148197 -0.0045389 0.01832565 0.0060386 0.06475889 0.0304131 0.10280376 -0.0325288 R30721_91 -0.0171303 -0.0012427 0.01831109 0.0084371 0.06484269 0.03180731 0.11258079 -0.0191003 0.06962951 0.03316118 0.10333916 -0.0437628 0.07062613 0.01749808 0.1066413 -0.0370014 3 R30746_91 -0.0127129 -0.0053491 0.02205403 0.0063210 3 R31305_91 -0.0090641 -0.0098672 0.02042497 -0.0010205 190 R34526_91 -0.0186403 -0.0020972 0.01654659 0.0013880 0.06374417 0.02178714 0.11512853 -0.0389323 0.06187699 0.02809294 0.10540038 -0.034401 2 R34706_91 -0.0109773 -0.0046879 0.01757953 0.0052685 7 R38491_91 -0.0151501 -0.0059926 0.0193229 -9.836E-05 0.06419023 0.02335909 0.0944208 -0.0352386 R39009_91 -0.0107123 -0.0142027 0.03094312 -0.0010232 0.08900597 0.02142208 0.12278014 -0.0332773 R39376_91 -0.0170128 0.0023879 0.01033304 0.0120661 0.05676763 0.02916898 0.09059093 -0.0432817 0.06361215 0.02092475 0.10613314 -0.0401704 2 R39566_91 -0.0124964 0.0011041 6 0.01473641 3 0.0055534 4 R39965_91 -0.0136123 -0.0113933 0.02226089 -0.0019002 0.07101548 0.02354355 0.12325407 -0.023061 R40942_91 -0.0175937 -0.0029919 0.01086376 0.0013071 0.05719147 0.01959553 0.10539334 -0.0333979 0.07792343 0.02609628 0.1258892 -0.0278255 0.06821112 0.02907084 0.10199129 -0.0363441 6 R52965_91 -0.0058932 -0.0096582 0.027678 0.0004928 3 R53460_91 -0.0130691 0.0015882 0.02066333 0.0086173 191 7 R53878_91 -0.0098062 -0.0007908 6 0.0218242 0.0095686 0.06560546 0.03472352 0.12005647 -0.0357889 LM11 X LM11 Y LM12 X LM12 Y 1 Specimen LM9 X LM9 Y LM10 X LM10 Y 0.20744001 0.23490416 0.27881306 0.10141725 0.3281955 0.10874746 0.33282511 -0.00815 0.20036773 0.23476832 0.26886364 0.09691981 0.32852985 0.10035143 0.32943651 -0.0154068 0.20245955 0.23765871 0.27413757 0.09706516 0.32970882 0.10382759 0.32303144 -0.0193695 0.22082578 0.24351811 0.26809421 0.09605019 0.33418796 0.1016792 0.31720177 -0.0262131 0.18534673 0.2441078 0.26582001 0.0995078 0.10571273 0.34427925 -0.0181977 #_Pit # 2301-L101_13 2301-L106_61-67 2301-L109_61-67 2301-L10_61-67 2301-L- 192 0.32614072 120_61-67 2301-L- 0.20911029 0.2429454 0.27263263 0.0963187 0.32977362 0.10705075 0.3285738 -0.0223715 0.19861622 0.24568536 0.27072155 0.09262992 0.32371615 0.09503123 0.33641436 -0.0253699 0.20553133 0.24688529 0.27335275 0.09953107 0.33061292 0.10480931 0.33647756 -0.0311664 0.21154038 0.2459237 0.27450551 0.10123842 0.31842747 0.08553547 0.33409079 -0.0292124 0.21693048 0.241901 0.2773721 0.09895179 0.32977501 0.10360891 0.33425887 -0.026772 0.2163636 0.23035102 0.27800641 0.09595798 0.32823608 0.10401123 0.32696601 -0.0205569 0.2017478 0.24319111 0.27520298 0.09292877 0.33518476 0.10286491 0.33753611 -0.0207352 0.21926057 0.24785635 0.27573367 0.09678296 0.32963473 0.09927589 0.32569778 -0.0190452 123_61-67 2301-L12_61-67 2301-L140_61-67 2301-L143_13 2301-L148_61-67 2301-L154_61-67 2301-L155_61-67 2301-L- 193 156_61-67 2301-L- 0.20248756 0.24322433 0.27824487 0.09575297 0.32972989 0.10379832 0.33493486 -0.0264676 0.20626562 0.24613144 0.27051815 0.09423367 0.32729594 0.10606162 0.33101078 -0.0233077 0.21514182 0.24437934 0.27937785 0.10876009 0.33105512 0.09758817 0.33179885 -0.0267482 0.20251908 0.23953956 0.27667284 0.09884204 0.32447911 0.09601244 0.33676009 -0.0332248 0.20101847 0.24108063 0.28105072 0.09346486 0.32979617 0.10553868 0.33525143 -0.0231108 0.21620451 0.24219662 0.26657822 0.09351298 0.32565522 0.10200029 0.3331554 -0.0295032 0.22578491 0.22851552 0.27995484 0.0893453 0.32656714 0.09201641 0.32904354 -0.017359 0.210845 0.27656453 0.09763005 0.32699282 0.10413197 0.34245831 -0.0227922 164_61-67 2301-L167_61-67 2301-L173_13 2301-L185_61-67 2301-L186_61-67 2301-L193_61-67 2301-L203_61-67 2301-L- 0.24855656 194 210_61-67 2301-L- 0.20652504 0.24228074 0.27277985 0.09451516 0.33496155 0.10334462 0.33213673 -0.0392741 0.22512556 0.25259864 0.27200723 0.10069525 0.32475731 0.10601932 0.32984381 -0.0413393 0.20561575 0.2377019 0.27784623 0.09473868 0.33344695 0.10159352 0.32514719 -0.0267391 0.20479425 0.23898226 0.27373065 0.09339737 0.33133942 0.09787007 0.32529684 -0.0403466 0.22328116 0.23378991 0.27845055 0.09688733 0.32990349 0.1045298 0.33321533 -0.0276001 0.21521755 0.24041443 0.27347072 0.09435085 0.32428356 0.09971626 0.33261409 -0.0266993 0.20057647 0.24181952 0.277989 0.09034486 0.32706017 0.09972344 0.35073339 -0.0232959 0.23136025 0.23764157 0.28134227 0.09764381 0.3261507 0.09983268 0.32643769 -0.0230326 211_61-67 2301-L218_61-67 2301-L242_61-67 2301-L244_61-67 2301-L245_61-67 2301-L246_61-67 2301-L28_61-67 2301-L- 195 419_13 2301-L- 0.2169373 0.24747266 0.27745441 0.09645676 0.32511354 0.10411141 0.33658171 -0.0226248 0.21051644 0.24753785 0.2761409 0.09558248 0.32939281 0.10414883 0.33413747 -0.0253775 0.22380484 0.24085803 0.27049549 0.10069155 0.32399673 0.10447939 0.33617491 -0.0214397 0.2228542 0.27179516 0.09272492 0.33236794 0.09918215 0.32914654 -0.0241594 0.21166729 0.23950167 0.2735437 0.09607027 0.3270196 0.10705005 0.33012388 -0.0251383 0.20674233 0.24245675 0.26642483 0.0996039 0.32216205 0.08373088 0.32454506 -0.0093492 0.22263991 0.23846928 0.27191257 0.09816186 0.32776268 0.10666367 0.3305264 -0.0196908 0.22454266 0.26252316 0.28618869 0.10584629 0.3253765 0.0973449 0.29893325 -0.0319009 425_61-67 2301-L428_61-67 2301-L42_61-67 2301-L- 0.23969327 430_61-67 2301-L433_61-67 2301-L447_13 2301-L44_61-67 2301-L- 196 451_13 2301-L- 0.21583267 0.24242672 0.26780721 0.09258732 0.32231027 0.09843021 0.33867898 -0.0301814 0.20612958 0.25120728 0.29034009 0.10866532 0.33640397 0.10398325 0.31937209 -0.0337653 0.20356299 0.24554495 0.2743599 0.09883581 0.32015541 0.10778112 0.33624822 -0.0197005 0.21100666 0.24141902 0.27738277 0.10079158 0.3289642 0.10417134 0.33436351 -0.0273043 0.21632447 0.24325415 0.28006839 0.10490828 0.32156605 0.09916774 0.33509814 -0.0273273 0.20414311 0.23511512 0.27503726 0.09426866 0.32357993 0.10184216 0.33065768 -0.0226374 0.20937274 0.23589565 0.26947062 0.09585906 0.31645305 0.10026991 0.33133833 -0.0219304 0.1953787 0.27062357 0.10568299 0.32106705 0.10185681 0.34039824 -0.0219451 455_61-67 2301-L466_13 2301-L468_13 2301-L469_61-67 2301-L474_13 2301-L475_13 2301-L482_61-67 2301-L- 0.24799614 197 48_61-67 2301-L- 0.19928621 0.23874403 0.2714646 0.09917091 0.31948169 0.10826637 0.33291645 -0.0307426 0.19808313 0.24170871 0.26351862 0.09512947 0.31864339 0.09088964 0.31722389 -0.0189112 0.21031801 0.23408292 0.26862405 0.09065242 0.32746688 0.10583224 0.33333109 -0.0197697 0.19100819 0.22933763 0.27193304 0.10274357 0.32290721 0.109229 0.33346249 -0.0148549 0.21142163 0.24593197 0.27408299 0.10288576 0.32409621 0.10623272 0.33489753 -0.0169111 0.1947163 0.24153024 0.28435392 0.09802786 0.332279 0.10127747 0.34041839 -0.0329366 0.20049039 0.24614545 0.27167127 0.09965681 0.32793451 0.10581979 0.33439098 -0.0245599 0.20826322 0.2435546 0.27591934 0.09955338 0.32526156 0.10024409 0.33336942 -0.0263897 490_13 2301-L493_61-67 2301-L4_61-67 2301-L500_13 2301-L509_61-67 2301-L50_61-67 2301-L511_61-67 2301-L- 198 514_61-67 2301-L- 0.21657656 0.24255758 0.27432958 0.09331135 0.33243491 0.09347823 0.32595746 -0.0231527 0.21849487 0.23990908 0.27780716 0.09412862 0.33032389 0.09706217 0.32664557 -0.0205423 0.21721287 0.24035691 0.27148253 0.08791668 0.31776368 0.09667986 0.3324668 -0.0130789 0.21696355 0.23285455 0.26662595 0.10041984 0.31563977 0.09613532 0.31860558 -0.0328737 0.21322738 0.24515501 0.27959374 0.10145872 0.32721225 0.10805137 0.33191176 -0.0239797 0.21823782 0.2444422 0.28361637 0.0975448 0.33217524 0.10039304 0.33172026 -0.0240053 0.20056541 0.23404379 0.27644365 0.09385881 0.32970566 0.10118099 0.33181674 -0.0258615 0.21180972 0.23070904 0.27805373 0.09297569 0.32501548 0.10058167 0.33377815 -0.0172653 516_61-67 2301-L517_61-67 2301-L518_61-67 2301-L537_61-67 2301-L63_13 2301-L64_61-67 2301-L65_61-67 2301-L- 199 66_61-67 2301-L- 0.21924193 0.24297909 0.27599151 0.09751908 0.32730613 0.09891809 0.31876621 -0.0303861 0.22378858 0.24442887 0.28142501 0.09864443 0.32353752 0.0930255 0.32421276 -0.0345145 0.20033534 0.24771451 0.27793388 0.10375524 0.3248303 0.10400383 0.32980496 -0.0222217 0.22322679 0.23879177 0.27903671 0.09299913 0.33150572 0.10214116 0.33356658 -0.0200556 0.21221208 0.23597159 0.27817158 0.09637786 0.33334583 0.09900913 0.33008005 -0.0317501 0.20454352 0.23683307 0.28098505 0.10044132 0.33232248 0.10184341 0.33982972 -0.0266029 0.19887585 0.23650193 0.27268916 0.09682748 0.32743021 0.10099614 0.32835387 -0.0257986 0.20113727 0.23508632 0.28000639 0.09742642 0.3309439 0.10022234 0.32993258 -0.022486 68_61-67 2301-L70_13 2301-L72_13 2301-L74_61-67 2301-L79_61-67 2301-L81_61-67 2301-L84_61-67 2301-L- 200 85_61-67 2301-L- 0.19778215 0.23094879 0.28393181 0.10201495 0.32256755 0.10231242 0.33379536 -0.0142256 0.21780574 0.24359833 0.27701812 0.09781407 0.32512418 0.10190332 0.33114602 -0.0218862 0.19700414 0.24147493 0.27656136 0.09285404 0.32964416 0.09572944 0.32712887 -0.0258088 0.19506386 0.20714115 0.27781414 0.09800876 0.33412929 0.10109281 0.33215315 -0.0288139 0.20822689 0.24153828 0.27431933 0.0951981 0.31772921 0.09463798 0.33778139 -0.024938 28662_2051 0.21061009 0.24005108 0.27749764 0.09581108 0.33365669 0.09685992 0.32447648 -0.0278654 28663_2051 0.19574985 0.25264106 0.27004276 0.10906668 0.3125331 0.10374097 0.34575239 -0.0272795 28720_2051 0.22478225 0.25989998 0.28047091 0.10070251 0.32371309 0.0981415 0.33458115 -0.0200852 28736_2051 0.21562999 0.25285533 0.28030943 0.1002838 0.09391591 0.3391319 -0.0207333 28738b_2051 0.20889898 0.25732938 0.27090737 0.10243331 0.3162715 0.0967812 0.33625169 -0.0207726 92_13 2301-L93_13 2301-L95_61-67 2301-L97_61-67 2301-L99_61-67 201 0.32558394 28739_2051 0.19204277 0.25223272 0.28151492 0.09803288 0.33090913 0.10359047 0.34020551 -0.0202798 28756_2051 0.20001856 0.26533222 0.27479442 0.10692946 0.32570507 0.10039681 0.34595832 -0.0295764 28758_2051 0.21182691 0.25676363 0.27285117 0.10386582 0.32335199 0.09736865 0.33489502 -0.0357626 29041_2051 0.20121365 0.24230837 0.28787485 0.09428871 0.33041355 0.09196287 0.33943157 -0.0263057 29049_2051 0.20558611 0.24649345 0.28072608 0.10190473 0.31830317 0.10241244 0.3439161 -0.0133392 29056_2051 0.20685514 0.24422745 0.27805913 0.10435968 0.3245606 0.08888336 0.32842192 -0.0386739 29068_2051 0.20666636 0.23011089 0.27927191 0.09898684 0.32573245 0.09664228 0.34393419 -0.0110052 29075_2051 0.2040634 0.24350445 0.28185301 0.10118073 0.33119435 0.09676586 0.34208543 -0.0249316 29082_2051 0.20834654 0.25036542 0.27714226 0.09724465 0.32179207 0.09513161 0.33114974 -0.0164528 76919_2051 0.19833552 0.25002643 0.27811054 0.10440287 0.32745402 0.09210477 0.3453907 -0.027722 associated 0.22809708 0.23659242 0.27982069 0.0908818 0.33989078 0.10054453 0.34116277 -0.0225015 JR3_2051 0.20175964 0.24877612 0.28289486 0.10806837 0.32870608 0.10036865 0.33553601 -0.041542 LACMHC 0.19523631 0.23451975 0.27106766 0.09661315 0.3047734 0.09104186 0.33381982 -0.0161108 with 2301-R214_61-67 54899_13 202 LACMHC 0.21561203 0.25472239 0.28085924 0.09945848 0.32340513 0.09326703 0.33577912 -0.021502 0.21960502 0.25503709 0.27725723 0.10529451 0.32154218 0.10928978 0.33198415 -0.0324492 0.20736526 0.24096879 0.27460069 0.0998565 0.31945683 0.10197886 0.32994627 -0.020402 0.21578396 0.23068575 0.275392 0.09551567 0.32381714 0.10056159 0.32904102 -0.0210825 0.19521355 0.23830555 0.27385148 0.09503181 0.3250553 0.09836745 0.33440585 -0.0267756 0.21181216 0.22722082 0.27290439 0.09422728 0.32485228 0.09732978 0.32658146 -0.0245216 0.2088758 0.24718812 0.27516345 0.09838417 0.31607709 0.1044494 0.33137483 -0.0306899 0.21398875 0.24040764 0.27850567 0.09093524 0.32392632 0.09662048 0.32897683 -0.0296243 54901_13 LACMHC 54903_13 LACMHC 54909_13 LACMHC 54912_13 LACMHC 54913_13 LACMHC 54917_13 LACMHC 54921_13 LACMHC 54922_13 203 LACMHC 0.21073411 0.23806602 0.28055927 0.10102606 0.32974018 0.09905897 0.3146993 -0.032175 0.22294232 0.23647953 0.27613365 0.09687463 0.3251904 0.10713461 0.32981177 -0.0164065 0.19424301 0.2347818 0.29259484 0.09872237 0.33224847 0.1057935 0.32607329 -0.0268679 0.2138796 0.25008035 0.28527842 0.09734583 0.33135261 0.09477801 0.32331705 -0.0228432 0.22075204 0.24683038 0.26954632 0.09801801 0.31976171 0.09861537 0.33091413 -0.0248298 0.20561406 0.25234243 0.27604554 0.10176028 0.32107683 0.10895493 0.3436632 -0.0189293 0.21580018 0.23076602 0.28700255 0.09848237 0.32316649 0.10853457 0.33138031 -0.0187792 0.20633765 0.24009882 0.26932456 0.09841317 0.31872858 0.08963927 0.31502864 -0.018606 54924_13 LACMHC 54940_13 LACMHC 54943_13 LACMHC 54958_13 LACMHC 54959_13 LACMHC 54962_13 LACMHC 54975_13 LACMHC 54976_13 204 LACMHC 0.20157945 0.25586583 0.27440014 0.10425253 0.3177275 0.10298081 0.33529909 -0.0319798 0.20819597 0.24629089 0.27650813 0.10743565 0.32786335 0.11697432 0.33996401 -0.0297163 0.20890682 0.23302971 0.27517182 0.08834707 0.32443108 0.09604968 0.325671 -0.021748 0.20537534 0.24599311 0.27500296 0.09523061 0.32466214 0.09200247 0.32999709 -0.0172236 0.19528407 0.23601306 0.28009552 0.10086778 0.3259831 0.10955164 0.34191697 -0.0371385 0.22058302 0.24643822 0.2708046 0.09216882 0.32122328 0.09909837 0.32557904 -0.0324561 0.19895361 0.249977 0.26987287 0.0956619 0.32908813 0.09846263 0.33139488 -0.0284736 0.21153006 0.24067436 0.26410667 0.09460672 0.31879913 0.09594681 0.33015957 -0.0094943 54977_13 LACMHC 54983_13 LACMHC 55509_61-67 LACMHC 55513_61-67 LACMHC 55516_61-67 LACMHC 55518_61-67 LACMHC 55520_61-67 LACMHC 55521_61-67 205 LACMHC 0.20205617 0.23468358 0.27798182 0.09208931 0.33232007 0.10576265 0.34204402 -0.0223979 0.2161428 0.23513726 0.27204576 0.09695054 0.32306566 0.10096661 0.33434266 -0.025967 0.21777782 0.23917545 0.27273925 0.09156323 0.33511294 0.09892703 0.32657692 -0.0271221 0.21738309 0.23736852 0.27237395 0.09345103 0.32646821 0.09520724 0.32088479 -0.0227236 0.21343491 0.24570789 0.26808351 0.09368391 0.32891768 0.09897373 0.32244534 -0.0317559 0.22019529 0.23602037 0.27486562 0.09219503 0.32438474 0.09367632 0.32416424 -0.0199901 0.21724252 0.24624898 0.28158344 0.09604114 0.33173525 0.09263219 0.32849762 -0.0285509 0.20415813 0.23685307 0.27220849 0.09432446 0.31842208 0.09764158 0.32997506 -0.0251064 55660_61-67 LACMHC 55665_61-67 LACMHC 55666_61-67 LACMHC 55667_61-67 LACMHC 55675_61-67 LACMHC 55681_61-67 LACMHC 55683_61-67 LACMHC 55685_61-67 206 LACMHC 0.21966655 0.23959857 0.27279014 0.09593689 0.32920042 0.10776326 0.32907345 -0.0298451 0.20567958 0.23470822 0.28292671 0.09287721 0.32690134 0.09275769 0.32874044 -0.0227224 0.20294997 0.23871119 0.28117641 0.09159671 0.33176946 0.09437591 0.33890723 -0.0192818 0.19537685 0.23023952 0.2543478 0.102649 0.31967156 0.10212861 0.31734073 -0.0120037 0.22070646 0.23157788 0.2647528 0.0896301 0.32596447 0.09230333 0.31553815 -0.020818 0.19604415 0.2480581 0.27675259 0.09542325 0.32615349 0.09385576 0.3412982 -0.0229017 0.21476852 0.23294947 0.26946919 0.09202992 0.32291495 0.10136227 0.33790068 -0.0254553 0.20360188 0.23646364 0.27182478 0.0945413 0.10107898 0.33404146 -0.0242146 55691_61-67 LACMHC 55692_61-67 LACMHC 55693_61-67 LACMHC 55694_61-67 LACMHC 55695_61-67 LACMHC 675_61-67 LACMHC 676_61-67 LACMHC 680_61-67 207 0.32784997 LACMHC 0.21011096 0.23987057 0.27390626 0.09088011 0.32420223 0.09629689 0.32759647 -0.035822 0.2153089 0.24178941 0.27260944 0.09426701 0.32157897 0.11176705 0.3274301 -0.0305745 0.21593081 0.24579917 0.27296789 0.09296539 0.32712963 0.09653733 0.32907678 -0.0105743 R17460_91 0.20968016 0.2436378 0.2646371 0.09231287 0.31002943 0.09713555 0.33144874 -0.0199949 R17488_91 0.21238653 0.23368761 0.27034115 0.09267732 0.32292486 0.10048894 0.32590134 -0.0234442 R17928_91 0.21613265 0.23620294 0.28062845 0.10722914 0.32923019 0.10715806 0.31530684 -0.0172567 R18664_91 0.20815055 0.24807747 0.27589265 0.0895392 0.322917 0.09769928 0.33524368 -0.0285919 R27246_91 0.20413457 0.23046384 0.26786546 0.0903641 0.31189033 0.09518752 0.32780583 -0.009138 R28351_91 0.20728965 0.24540497 0.26913688 0.10045954 0.32740377 0.10638073 0.33831336 -0.0160791 R28379_91 0.20215154 0.23148413 0.27262475 0.09903468 0.33238705 0.10281873 0.3288635 -0.0192417 R28913_91 0.21279895 0.23584239 0.27504267 0.09897654 0.31944786 0.11178656 0.33236654 -0.0389548 R30721_91 0.22192677 0.23966786 0.26931815 0.09244092 0.3139646 0.09302201 0.32653313 -0.0294361 R30746_91 0.20014976 0.24031893 0.27367864 0.10047859 0.32783096 0.1020189 0.32762302 -0.0217851 681_61-67 LACMHC 682_61-67 LACMHC 683_61-67 208 R31305_91 0.19722231 0.22483044 0.27039693 0.10012461 0.32059415 0.10619297 0.32568264 -0.0139168 R34526_91 0.20072213 0.23558598 0.27268719 0.10361175 0.32159524 0.10765178 0.32261449 -0.0320983 R34706_91 0.21069926 0.23418137 0.27304619 0.0970156 0.1019171 0.32259461 -0.0250603 R38491_91 0.21951196 0.2258073 0.27349905 0.09563174 0.32536037 0.10252448 0.33115338 -0.0221387 R39009_91 0.1826688 0.22335301 0.2584863 0.10065921 0.31700247 0.09432012 0.31888937 -0.0146171 R39376_91 0.213811 0.24219576 0.27401669 0.09623672 0.32734351 0.10074891 0.3319921 -0.0268743 R39566_91 0.21263354 0.23436979 0.27583941 0.0986187 0.32957865 0.10794944 0.32312147 -0.0268715 R39965_91 0.21130267 0.23017161 0.2693642 0.09693565 0.32190917 0.09943907 0.31492303 -0.0149055 R40942_91 0.20865175 0.23640504 0.2705931 0.09701171 0.31999248 0.1067171 0.33563127 -0.0250413 R52965_91 0.20187045 0.22715728 0.27443722 0.10692256 0.32157859 0.09332978 0.30470449 -0.0129828 R53460_91 0.20419329 0.24003018 0.2737305 0.09609305 0.32171737 0.09892368 0.34153495 -0.0328817 R53878_91 0.215706 0.26894136 0.09439571 0.32034636 0.10274835 0.31827181 -0.0288441 0.23867027 209 0.32517876 Specimen LM13 X LM13 Y LM14 X 0.2008814 -0.0644769 0.20123769 LM14 Y LM15 X LM15 Y LM16 X LM16 Y 0.02572806 -0.1242759 -0.0973422 -0.1208037 -0.30876 -0.0965 -0.0651084 0.03227706 -0.1248704 -0.0955045 -0.1216496 -0.315 -0.10048 0.21042515 -0.0605176 0.03489205 -0.1276118 -0.0932031 -0.124679 -0.30263 -0.09976 0.20202395 -0.0537272 0.03343356 -0.1147012 -0.0864312 -0.1177037 -0.30002 -0.09836 0.20013117 -0.0714936 0.04025681 -0.1401561 -0.0928168 -0.1250818 -0.30122 -0.09117 0.21611688 -0.0543764 0.02417134 -0.1305585 -0.109514 -0.1221584 -0.30525 -0.09864 0.2058877 -0.0648639 0.03720706 -0.1233965 -0.0904418 -0.1242194 -0.30172 -0.09911 #_Pit # 2301-L101_13 2301-L106_61-67 2301-L109_61-67 2301-L10_61-67 2301-L120_61-67 2301-L123_61-67 2301-L12_61-67 210 2301-L- 0.20577689 -0.0688831 0.0258391 -0.1376867 -0.0985569 -0.1262234 -0.29407 -0.10235 0.20326698 -0.0640346 0.03358726 -0.1193808 -0.1029447 -0.1195509 -0.30233 -0.10585 0.20268174 -0.0580308 0.0229832 -0.1171796 -0.1007202 -0.1144872 -0.30237 -0.09489 0.19701225 -0.0617194 0.0356781 -0.1174034 -0.0923433 -0.1150274 -0.313 -0.10198 0.20220725 -0.063487 0.02478813 -0.1320729 -0.1062453 -0.123867 -0.30454 -0.10085 0.20320804 -0.0606051 0.02506459 -0.1270425 -0.1020306 -0.1217689 -0.30649 -0.10892 0.20380151 -0.0641576 0.02278188 -0.1251553 -0.109219 -0.1140363 -0.30519 -0.10897 0.21270875 -0.0611568 0.02571658 -0.1263312 -0.1037805 -0.1234599 -0.31208 -0.09862 140_61-67 2301-L143_13 2301-L148_61-67 2301-L154_61-67 2301-L155_61-67 2301-L156_61-67 2301-L164_61-67 2301-L167_61-67 211 2301-L- 0.20800732 -0.0619896 0.02132421 -0.1237477 -0.1202612 -0.1201591 -0.3075 -0.10285 0.20535203 -0.06716 0.02937265 -0.1240369 -0.101553 -0.1153984 -0.30424 -0.1002 0.19993648 -0.0676554 0.02233934 -0.132312 -0.10256 -0.1206263 -0.30682 -0.09192 0.22006922 -0.0547557 0.0228236 -0.1186735 -0.1116506 -0.1088842 -0.32075 -0.08601 0.20277768 -0.0543123 0.0256557 -0.1183304 -0.1107988 -0.1185565 -0.31863 -0.10249 0.19664987 -0.0664422 0.02844952 -0.1296254 -0.1070742 -0.122152 -0.30055 -0.09808 0.19794349 -0.0607846 0.03299434 -0.1237164 -0.096357 -0.1218307 -0.29872 -0.10396 0.19067742 -0.0687138 0.02745907 -0.1251465 -0.0962979 -0.1212785 -0.29631 -0.10582 173_13 2301-L185_61-67 2301-L186_61-67 2301-L193_61-67 2301-L203_61-67 2301-L210_61-67 2301-L211_61-67 2301-L218_61-67 212 2301-L- 0.20854487 -0.0594939 0.03348955 -0.1257222 -0.091207 -0.1224842 -0.30119 -0.09865 0.20631567 -0.0554018 0.03851216 -0.1273882 -0.0894804 -0.1242802 -0.29453 -0.10174 0.19346855 -0.056514 0.03057441 -0.1180487 -0.1009854 -0.1205465 -0.30402 -0.10211 0.2076342 -0.0572105 0.03054023 -0.1214893 -0.0956262 -0.113426 -0.2989 -0.10438 0.20572867 -0.0633468 0.02391298 -0.1223434 -0.1073815 -0.1178609 -0.3077 -0.08976 0.19292293 -0.0614045 0.02476628 -0.115817 -0.0982764 -0.1209152 -0.30642 -0.10666 0.20482575 -0.0640741 0.02244074 -0.1304208 -0.104474 -0.1206909 -0.30574 -0.09522 0.2066369 -0.0553311 0.02313825 -0.1245251 -0.0980786 -0.1219496 -0.30668 -0.09191 242_61-67 2301-L244_61-67 2301-L245_61-67 2301-L246_61-67 2301-L28_61-67 2301-L419_13 2301-L425_61-67 2301-L428_61-67 213 2301-L- 0.20258086 -0.0621786 0.01551274 -0.1297481 -0.1104987 -0.1216503 -0.30653 -0.09285 0.19720153 -0.0574793 0.03001249 -0.120605 -0.0894394 -0.1197124 -0.30882 -0.10384 0.20243169 -0.0620321 0.03311764 -0.1270632 -0.0962573 -0.1219221 -0.30456 -0.09777 0.21832826 -0.0568381 0.03388142 -0.1219126 -0.1184675 -0.1191188 -0.30549 -0.10354 0.19842695 -0.0606799 0.02824482 -0.1270746 -0.1025926 -0.1204853 -0.3085 -0.09662 0.19607814 -0.0690817 0.04065485 -0.1348231 -0.0924609 -0.1312076 -0.3065 -0.09546 0.20720294 -0.0578769 0.02843051 -0.1207835 -0.0891626 -0.1194516 -0.30674 -0.10299 0.18996219 -0.0718197 0.033937 -0.0973197 -0.1201907 -0.30181 -0.09388 42_61-67 2301-L430_61-67 2301-L433_61-67 2301-L447_13 2301-L44_61-67 2301-L451_13 2301-L455_61-67 2301-L- -0.123515 466_13 214 2301-L- 0.20321405 -0.0671002 0.03365315 -0.1398173 -0.0972675 -0.1305219 -0.30134 -0.10176 0.20030765 -0.0620252 0.0260361 -0.1274618 -0.1011001 -0.1205728 -0.31138 -0.09555 0.21436244 -0.0589231 0.01157528 -0.1290177 -0.1058336 -0.1202835 -0.30501 -0.09809 0.20940356 -0.0620861 0.03705305 -0.1235638 -0.0972471 -0.1250558 -0.29635 -0.0982 0.20659707 -0.0591225 0.03263072 -0.1268882 -0.0973179 -0.126857 -0.30312 -0.10399 0.20891153 -0.0706844 0.03726013 -0.1317689 -0.0940287 -0.1219193 -0.29997 -0.08829 0.19763834 -0.0678663 0.0421533 -0.0989166 -0.1291167 -0.302 -0.10505 0.21316337 -0.0559946 0.04863369 -0.1303575 -0.10522 -0.1276588 -0.30854 -0.09997 468_13 2301-L469_61-67 2301-L474_13 2301-L475_13 2301-L482_61-67 2301-L48_61-67 2301-L- -0.1296751 490_13 2301-L493_61-67 215 2301-L- 0.21279969 -0.0570009 0.03649506 -0.123324 -0.095281 -0.1245431 -0.29728 -0.10025 0.21302385 -0.0639808 0.02739691 -0.1327679 -0.1024031 -0.126113 -0.3009 -0.10358 0.2045079 -0.0663893 0.03151313 -0.1316561 -0.1044673 -0.1262863 -0.30798 -0.09923 0.20953401 -0.0646533 0.01959319 -0.1208133 -0.0975531 -0.1120689 -0.30571 -0.0977 0.21015131 -0.0589244 0.02894203 -0.1271771 -0.1001519 -0.118507 -0.30038 -0.09488 0.19854214 -0.0628099 0.03197505 -0.1259883 -0.0961554 -0.1259512 -0.29738 -0.1014 0.19937362 -0.0603634 0.02907139 -0.125911 -0.0966916 -0.1210226 -0.2984 -0.0986 0.20384117 -0.0503285 0.0359962 -0.102084 -0.1143699 -0.30773 -0.10249 4_61-67 2301-L500_13 2301-L509_61-67 2301-L50_61-67 2301-L511_61-67 2301-L514_61-67 2301-L516_61-67 2301-L- -0.1166407 517_61-67 216 2301-L- 0.2212562 -0.0487529 0.0273473 -0.1272925 -0.0975119 -0.1174415 -0.30295 -0.09904 0.22147968 -0.0631172 0.0295851 -0.1248292 -0.0945703 -0.1213359 -0.29878 -0.11102 0.20730295 -0.0568038 0.02538714 -0.1320457 -0.0935032 -0.1261769 -0.2858 -0.09819 0.21659073 -0.0501957 0.0160509 -0.106225 -0.1263249 -0.29022 -0.11085 0.21891561 -0.0595305 0.02406847 -0.1296281 -0.0904138 -0.1277399 -0.29315 -0.1053 0.23220728 -0.049179 0.02640651 -0.125087 -0.0976102 -0.1249917 -0.29871 -0.11057 0.20518938 -0.0557849 0.03104109 -0.1208377 -0.0936647 -0.1188893 -0.30771 -0.09878 0.19436591 -0.0558151 0.03490533 -0.1165903 -0.1016935 -0.115775 -0.30421 -0.1052 518_61-67 2301-L537_61-67 2301-L63_13 2301-L- -0.1298526 64_61-67 2301-L65_61-67 2301-L66_61-67 2301-L68_61-67 2301-L70_13 217 2301-L- 0.20176757 -0.0661939 0.02389302 -0.1320374 -0.0972907 -0.1251785 -0.30135 -0.09891 0.18675121 -0.0568976 0.0298504 -0.1214241 -0.0931522 -0.1204172 -0.29772 -0.10168 0.20264043 -0.055591 0.0253732 -0.1235182 -0.0928152 -0.121124 -0.29914 -0.10171 0.20570168 -0.0605166 0.03071066 -0.125073 -0.1108461 -0.1170516 -0.31163 -0.08937 0.21249849 -0.0583079 0.03107726 -0.1335548 -0.0981542 -0.1273445 -0.30421 -0.09878 0.2268058 -0.0538939 0.02411816 -0.1298338 -0.1008122 -0.125632 -0.29735 -0.11026 0.209056 -0.0633742 0.03111166 -0.1322602 -0.0990229 -0.1279149 -0.30377 -0.10196 0.20767546 -0.0538859 0.02484941 -0.125371 -0.1061548 -0.1266606 -0.30568 -0.10679 72_13 2301-L74_61-67 2301-L79_61-67 2301-L81_61-67 2301-L84_61-67 2301-L85_61-67 2301-L92_13 2301-L93_13 218 2301-L- 0.21440304 -0.0648822 0.03360171 -0.1199019 -0.0920708 -0.1158049 -0.3015 -0.10125 0.21048411 -0.0548618 0.03025689 -0.1222181 -0.0961918 -0.1228855 -0.30769 -0.10086 0.22002768 -0.0538376 0.01958184 -0.1171181 -0.1060616 -0.1143018 -0.29979 -0.10576 28662_2051 0.19608932 -0.0580411 0.03539616 -0.1162545 -0.0909423 -0.1187926 -0.30235 -0.10532 28663_2051 0.21302131 -0.0620179 0.03110202 -0.1350649 -0.0946662 -0.1243665 -0.30563 -0.09194 28720_2051 0.20383526 -0.0621208 0.02191629 -0.1202589 -0.0971915 -0.1152269 -0.29772 -0.09878 28736_2051 0.19584332 -0.0622215 0.02098413 -0.1225606 -0.1045131 -0.1173061 -0.30483 -0.10155 28738b_2051 0.21238667 -0.0634089 0.02626337 -0.1323291 -0.1032104 -0.1238755 -0.30844 -0.09464 28739_2051 0.19736753 -0.066777 0.03257876 -0.1318494 -0.0946563 -0.1264696 -0.29779 -0.09503 28756_2051 0.21357328 -0.067154 0.01697272 -0.1328782 -0.107114 -0.1191856 -0.29983 -0.08489 28758_2051 0.19804955 -0.0651404 0.03016255 -0.1320916 -0.0871945 -0.125531 -0.29185 -0.10446 29041_2051 0.20343893 -0.0613704 0.02110559 -0.1186109 -0.0959401 -0.1214587 -0.30372 -0.10566 29049_2051 0.19548331 -0.0676331 0.03115017 -0.1207667 -0.0966304 -0.1151951 -0.30703 -0.09142 95_61-67 2301-L97_61-67 2301-L99_61-67 219 29056_2051 0.21041187 -0.0618721 0.03380501 -0.1153214 -0.096573 -0.1114104 -0.29844 -0.09605 29068_2051 0.211555 -0.0590005 0.02503975 -0.1210153 -0.1045985 -0.1138677 -0.30274 -0.0963 29075_2051 0.20848542 -0.0666236 0.01820774 -0.1242832 -0.0999433 -0.118986 -0.30067 -0.0924 29082_2051 0.20097502 -0.0637152 0.03180314 -0.1275166 -0.0987209 -0.1184893 -0.30216 -0.09939 76919_2051 0.19843517 -0.0635033 0.02387294 -0.1195787 -0.0936238 -0.1125434 -0.30125 -0.10089 associated 0.2128707 -0.0605859 -0.0056885 -0.1210134 -0.1243341 -0.1206492 -0.29603 -0.106 JR3_2051 0.20450935 -0.0529428 0.0293881 -0.1271587 -0.100411 -0.1252733 -0.29694 -0.10391 LACMHC 0.22685441 -0.0548598 0.02533644 -0.1255975 -0.0943268 -0.120242 -0.31156 -0.09895 0.20524525 -0.0606414 0.01847514 -0.1266782 -0.1025122 -0.125813 -0.30237 -0.1044 0.20957086 -0.0656565 0.02270747 -0.1279811 -0.1045678 -0.1186235 -0.29555 -0.09873 0.23047587 -0.0505502 0.02248114 -0.1253398 -0.1091037 -0.1199052 -0.30842 -0.1034 with 2301-R214_61-67 54899_13 LACMHC 54901_13 LACMHC 54903_13 LACMHC 220 54909_13 LACMHC 0.19846722 -0.0599808 0.03459299 -0.1279662 -0.0921327 -0.1279926 -0.29784 -0.10336 0.20612851 -0.0614519 0.03433772 -0.1215177 -0.0967683 -0.1199966 -0.30666 -0.09364 0.22038147 -0.0520841 0.03361155 -0.1223391 -0.0926923 -0.121528 -0.29299 -0.10577 0.20434936 -0.0708563 0.03659748 -0.1272072 -0.0880581 -0.1219832 -0.30286 -0.09954 0.21987364 -0.0597422 0.02368795 -0.1324247 -0.0999083 -0.1258756 -0.29384 -0.10742 0.21942434 -0.0587624 0.03252754 -0.121747 -0.0913264 -0.1213484 -0.29263 -0.108 0.20910243 -0.0594084 0.0314149 -0.1030638 -0.119639 -0.30759 -0.10624 0.17949258 -0.0527461 0.02905967 -0.1367432 -0.0956348 -0.1205718 -0.30551 -0.10754 54912_13 LACMHC 54913_13 LACMHC 54917_13 LACMHC 54921_13 LACMHC 54922_13 LACMHC 54924_13 LACMHC -0.125576 54940_13 LACMHC 221 54943_13 LACMHC 0.19847057 -0.0681411 0.02422887 -0.1186044 -0.1039437 -0.1266162 -0.31241 -0.0977 0.20750203 -0.0603422 0.0297171 -0.1254705 -0.1001655 -0.1260301 -0.29877 -0.10771 0.21279829 -0.0662858 0.02181643 -0.1315004 -0.1039627 -0.1286473 -0.29559 -0.10078 0.20482351 -0.0694978 0.02962415 -0.120011 -0.1159863 -0.1141625 -0.31723 -0.09733 0.21845037 -0.0527541 0.03393152 -0.1227413 -0.1009598 -0.1198275 -0.3145 -0.09983 0.20856586 -0.0659287 0.03721499 -0.1302776 -0.1112361 -0.1258034 -0.30752 -0.09742 0.2055719 -0.0605702 0.02769553 -0.1300029 -0.0991581 -0.1197864 -0.29829 -0.09674 0.21549851 -0.0585472 0.02163295 -0.1263677 -0.095443 -0.1209941 -0.3048 -0.09861 54958_13 LACMHC 54959_13 LACMHC 54962_13 LACMHC 54975_13 LACMHC 54976_13 LACMHC 54977_13 LACMHC 54983_13 LACMHC 222 55509_61-67 LACMHC 0.20184808 -0.0607642 0.03644686 -0.1267623 -0.0951601 -0.1261243 -0.31074 -0.10036 0.21890663 -0.066473 0.02351451 -0.1324567 -0.1068701 -0.1242553 -0.30085 -0.09961 0.21324283 -0.0596599 0.02574826 -0.1277809 -0.1013555 -0.1217213 -0.30704 -0.09744 0.21457838 -0.0668364 0.02304084 -0.1255505 -0.0965395 -0.1189682 -0.30552 -0.09641 0.2167825 -0.0573961 0.03286052 -0.1285604 -0.0976716 -0.1253284 -0.30744 -0.09659 0.2177191 -0.0598869 0.02338402 -0.1262734 -0.0960154 -0.1206396 -0.29392 -0.10082 0.22214319 -0.0596616 0.02353792 -0.1204831 -0.0999325 -0.1097529 -0.3104 -0.09674 0.21339247 -0.0508533 0.01965702 -0.1353677 -0.1046837 -0.1284492 -0.30055 -0.09852 55513_61-67 LACMHC 55516_61-67 LACMHC 55518_61-67 LACMHC 55520_61-67 LACMHC 55521_61-67 LACMHC 55660_61-67 LACMHC 55665_61-67 LACMHC 223 55666_61-67 LACMHC 0.2048041 -0.0557477 0.03126901 -0.1278262 -0.0975305 -0.1207772 -0.30248 -0.09681 0.20539897 -0.0562134 0.03392291 -0.1188513 -0.0989455 -0.116834 -0.30514 -0.10197 0.21543763 -0.0557418 0.02349046 -0.1219007 -0.1009311 -0.1171269 -0.31384 -0.09497 0.20476503 -0.0553744 0.02107303 -0.1193489 -0.0977018 -0.1173521 -0.29217 -0.11052 0.22643093 -0.0630976 0.02706267 -0.1245239 -0.0986359 -0.1153341 -0.30691 -0.09691 0.22221669 -0.0518594 0.02148893 -0.1267782 -0.1026407 -0.1191789 -0.30058 -0.10295 0.20805167 -0.056531 0.03867956 -0.1183431 -0.0949058 -0.1134057 -0.3041 -0.10309 0.21735781 -0.0564108 0.02179203 -0.1224168 -0.0984128 -0.1179291 -0.30034 -0.10411 55667_61-67 LACMHC 55675_61-67 LACMHC 55681_61-67 LACMHC 55683_61-67 LACMHC 55685_61-67 LACMHC 55691_61-67 LACMHC 55692_61-67 LACMHC 224 55693_61-67 LACMHC 0.23203567 -0.0558633 0.03589798 -0.1299165 -0.0956476 -0.1202583 -0.31915 -0.09698 0.21627887 -0.053387 0.03418901 -0.1135626 -0.0944828 -0.1104394 -0.32046 -0.0967 0.22219083 -0.0622356 0.02083875 -0.1271642 -0.0997287 -0.1191266 -0.30156 -0.09333 0.22399074 -0.0574709 0.01881299 -0.1260945 -0.1009053 -0.1198265 -0.29879 -0.10179 0.21395221 -0.0589153 0.03453449 -0.1207891 -0.0982915 -0.1208507 -0.2984 -0.10422 0.21918311 -0.0575118 0.04241668 -0.1158222 -0.0894073 -0.1146374 -0.30166 -0.10665 0.21537975 -0.0633219 0.03494128 -0.1328173 -0.0963827 -0.1230406 -0.2922 -0.10781 0.22363763 -0.0559902 0.02901215 -0.126144 -0.0949696 -0.1232598 -0.30326 -0.09443 55694_61-67 LACMHC 55695_61-67 LACMHC 675_61-67 LACMHC 676_61-67 LACMHC 680_61-67 LACMHC 681_61-67 LACMHC 682_61-67 LACMHC 225 683_61-67 R17460_91 0.22937392 -0.0575741 0.02984277 -0.1308728 -0.0942833 -0.1281024 -0.31071 -0.10521 R17488_91 0.2335724 -0.050908 0.03129084 -0.1157896 -0.0945567 -0.1203266 -0.30784 -0.103 R17928_91 0.19073514 -0.0607616 0.0407928 -0.0937851 -0.125649 -0.29881 -0.10179 R18664_91 0.20921755 -0.0645244 0.02666788 -0.12179 -0.1015748 -0.1161877 -0.30682 -0.10243 R27246_91 0.24085001 -0.0545213 0.0276723 -0.1302922 -0.1040738 -0.1334478 -0.30634 -0.09395 R28351_91 0.21552272 -0.0642668 0.0286465 -0.130945 -0.1042516 -0.1230647 -0.30047 -0.09307 R28379_91 0.22036666 -0.0577093 0.0285301 -0.1292518 -0.0954505 -0.1296129 -0.30405 -0.09867 R28913_91 0.22027489 -0.0583885 0.02769219 -0.1199766 -0.1051457 -0.1187683 -0.30103 -0.10422 R30721_91 0.22613917 -0.0600346 0.02380592 -0.1194716 -0.0990738 -0.1148493 -0.31108 -0.09893 R30746_91 0.21539559 -0.0597424 0.03176028 -0.1279582 -0.1015433 -0.1230106 -0.3083 -0.09658 R31305_91 0.23019179 -0.0541329 0.03185509 -0.1267772 -0.0904368 -0.120057 -0.32287 -0.08855 R34526_91 0.23512915 -0.059327 0.02316256 -0.1274947 -0.0984077 -0.1208271 -0.30812 -0.08943 R34706_91 0.21840288 -0.0509811 0.03177256 -0.1278179 -0.093695 -0.1270473 -0.30352 -0.10368 R38491_91 0.21964533 -0.0457986 0.02848407 -0.1130926 -0.0953923 -0.1152598 -0.30496 -0.09274 R39009_91 0.22532219 -0.0544489 0.05198065 -0.1241002 -0.0914188 -0.1225571 -0.30766 -0.0955 -0.1277328 226 R39376_91 0.22859354 -0.0568167 0.02572678 -0.1246418 -0.0974995 -0.1249872 -0.29767 -0.10409 R39566_91 0.22251989 -0.0551317 0.01597488 -0.1173247 -0.1004674 -0.1186552 -0.30867 -0.10001 R39965_91 0.22328563 -0.0520773 0.0286767 -0.1252399 -0.0994882 -0.1177305 -0.3101 -0.09594 R40942_91 0.23157538 -0.0586736 0.02310049 -0.1222713 -0.0971669 -0.1230712 -0.29904 -0.10751 R52965_91 0.22290463 -0.0541984 0.04193235 -0.1235007 -0.1088528 -0.122769 -0.31544 -0.10384 R53460_91 0.21099863 -0.0607053 0.02925311 -0.1202589 -0.1023811 -0.1150579 -0.30827 -0.09936 R53878_91 0.21607024 -0.0579991 0.02737683 -0.1225555 -0.0997464 -0.1190021 -0.31264 -0.10272 227
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